I am a firm believer in The 7 Habits of Highly Effective People, by Stephen Covey. If you've not read this book, it is worth the time. I mention this because my focus at BA Insight is around Covey's second habit, which is, "Begin with the end in mind." Seems simple, right? Well it is, but it's also quite rare. When approaching any enterprise search project, at any phase, I always try to come back to this idea. What is success? When are we done? What does finished look like? These are all different ways of saying, "Make sure you have goals!"

For decades, organizations have tried to unlock the collective knowledge contained within their people and systems. And the challenge is getting harder, since every year, massive amounts of additional information are created for people to share. We've reached a point at which individuals are unable consume, understand, or even find half the information that is available to them.

While growing evidence suggests that there’s a link between blood iron levels and the development of Alzheimer’s disease, new research investigating the effects of an available iron-reducing drug has raised concerns about its use as a treatment for the condition.

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Category: Alzheimer's & Dementia, Brain Health, Body & Mind

Tags: Iron, clinical trials, Alzheimer's disease

What comes to mind when you hear the term "cognitive dissonance"? Today Dr. Rossi shows how this reality is active in our lives as Orthodox Christians.

Aim/Purpose: The purpose of this paper is to develop and evaluate a debiasing-based approach to assessing the learning materials in problem-based learning (PBL) environments. Background: Research in cognitive debiasing suggests nine debiasing strategies improve decision-making. Given the large number of decisions made in semester-long, problem-based learning projects, multiple tools and techniques help students make decisions. However, instructors may struggle to identify the specific tools or techniques that could be modified to best improve students’ decision-making in the project. Furthermore, a structured approach for identifying these modifications is lacking. Such an approach would match the debiasing strategies with the tools and techniques. Methodology: This debiasing framework for the PBL environment is developed through a study of debiasing literature and applied within an e-commerce course using the Model for Improvement, continuous improvement process, as an illustrative case to show its potential. In addition, a survey of the students, archival information, and participant observation provided feedback on the debiasing framework and its ability to assess the tools and techniques within the PBL environment. Contribution: This paper demonstrates how debiasing theory can be used within a continuous improvement process for PBL courses. By focusing on a cognitive debiasing-based approach, this debiasing framework helps instructors 1) identify what tools and techniques to change in an PBL environment, and 2) assess which tools and techniques failed to debias the students adequately, providing potential changes for future cycles. Findings: Using the debiasing framework in an e-commerce course with significant PBL elements provides evidence that this framework can be used within IS courses and more broadly. In this particular case, the change identified in a prior cycle proved effective and additional issues were identified for improvement. Recommendations for Practitioners: With the growing usage of semester-long PBL projects in business schools, instructors need to ensure that their design of the projects incorporates techniques that improve student learning and decision making. This approach provides a means for assessing the quality of that design. Recommendation for Researchers: This study uses debiasing theory to improve course techniques. Researchers interested in assessment, course improvement, and program improvement should incorporate debiasing theory within PBL environments or other types of decision-making scenarios. Impact on Society: Increased awareness of cognitive biases can help instructors, students, and professionals make better decisions and recommendations. By developing a framework for evaluating cognitive debiasing strategies, we help instructors improve projects that prepare students for complex and multifaceted real-world projects. Future Research: The approach could be applied to multiple contexts, within other courses, and more widely within information systems to extend this research. The framework might also be refined to make it more concise, integrated with assessment, or usable in more contexts.

Aim/Purpose: The aim of the study is to test whether the perception of self-regulated learning during text reading in online teacher education is improved by using a digital tool for the use of metacognitive strategies for planning, monitoring, and self-assessment. Background: The use of self-regulated learning is important in reading skills, and for students to develop self-regulated learning, their teachers must master it. Therefore, teaching strategies for self-regulated learning in teacher education is essential. Methodology: The sample size was 252 participants with the tool used by 42% or the participants. A quasi-experimental design was used in a pre-post study. ARATEX-R, a text-based scale, was used to evaluate self-regulated learning. The 5-point Likert scale includes the evaluation of five dimensions: planning strategies, cognition management, motivation management, comprehension assessment and context management. A Generalized Linear Model was used to analyse the results. Contribution: Using the tool to self-regulate learning has led to an improvement during text reading, especially in the dimensions of motivation management, planning management and comprehension assessment, key dimensions for text comprehension and learning. Findings: Participants who use the app perceive greater improvement, especially in the dimensions of motivation management (22,3%), planning management (19.9%) and comprehension assessment (24,6%), which are fundamental dimensions for self-regulation in text reading. Recommendations for Practitioners: This tool should be included in teacher training to enable reflection during the reading of texts, because it helps to improve three key types of strategies in self-regulation: (1) planning through planning management, (2) monitoring through motivation management and comprehension assessment, and (3) self-assessment through comprehension assessment. Recommendation for Researchers: The success of the tool suggests further study for its application in other use cases: other student profiles in higher education, other teaching modalities, and other educational stages. These studies will help to identify adaptations that will extend the tool’s use in education. Impact on Society: The use of Metadig facilitates reflection during the reading of texts in order to improve comprehension and thus self-regulate the learning of content. This reflection is crucial for students’ knowledge construction. Future Research: Future research will focus on enhancing the digital tool by adding features to support the development of cognition and context management. It will also focus on how on adapting the tool to help other types of learners.

In this article, we have attempted to study the ways in which the COVID-19 pandemic has gradually increased and impacted the world. The authors integrate the knowledge from cognitive psychology literature to illustrate how the limitations of the human mind might have a critical role in the decisions taken during the COVID-19 pandemic. The authors show the correlation between different biases in various contexts involved in the COVID-19 pandemic and highlight the ways in which we can nudge ourselves and various stakeholders involved in the decision-making process. This study uses a typology of biases to examine how different patterns of biases affect the decision-making behaviour of people during the pandemic. The presented model investigates the potential interrelations among environmental transformations, cognitive biases, and strategic decisions. By referring to cognitive biases, our model also helps to understand why the same performance improvement practices might incite different opinions among decision-makers.

A hybrid network system for mitigating errors due to jamming attacks in cognitive radio networks (CRNs) is named LeNet deep stacked autoencoder (LDSAE) and is developed. In this exploration, the sensing stage and decision-making are considered. The sensing unit is composed of four steps. First, the detected signal is forwarded to filtering progression. Here, BPF is utilised to filter the detected signal. The filtered signal is squared in the second phase. Third, signal samples are combined and jamming attacks occur by including false energy levels. Last, the attack is maliciously affecting the FC decision in the fourth step. On the other hand, FC initiated the decision-making and also recognised jamming attacks that affect the link amidst PU and SN in decision-making stage and it is accomplished by employing LDSAE-based trust model where the proposed module differentiates the malicious and selfish users. The analytic measures of LDSAE gained 79.40%, 79.90%, and 78.40%.

Numerous Internet of Things (IoT) applications require brain-empowered intelligence. This necessity has caused the emergence of a new area called cognitive IoT (CIoT). Reasoning, planning, and selection are typically involved in decision-making within the network bandwidth limit. Consequently, data minimisation is needed. Therefore, this research proposes a novel technique to extract conscious data from a massive dataset. First, it groups the data using k-means clustering, and the entropy is computed for each cluster. The most prominent cluster is then determined by selecting the cluster with the highest entropy. Subsequently, it transforms each cluster element into an informative element. The most informative data is chosen from the most prominent cluster that represents the whole massive data, which is further used for intelligent decision-making. The experimental evaluation is conducted on the 21.25 years of environmental dataset, revealing that the proposed method is efficient over competing approaches.

Aim/Purpose: This work aims to present a knowledge modeling technique that supports the representation of the student learning process and that is capable of providing a means for self-assessment and evaluating newly acquired knowledge. The objective is to propose a means to address the pedagogical challenges in m-learning by aiding students’ metacognition through a model of a student with the target domain and pedagogy. Background: This research proposes a framework for social and meta-cognitive support to tackle the challenges raised. Two algorithms are introduced: the meta-cognition algorithm for representing the student’s learning process, which is capable of providing a means for self-assessment, and the social group mapping algorithm for classifying students according to social groups. Methodology : Based on the characteristics of knowledge in an m-learning system, the cognitive knowledge base is proposed for knowledge elicitation and representation. The proposed technique allows a proper categorization of students to support collaborative learning in a social platform by utilizing the strength of m-learning in a social context. The social group mapping and metacognition algorithms are presented. Contribution: The proposed model is envisaged to serve as a guide for developers in implementing suitable m-learning applications. Furthermore, educationists and instructors can devise new pedagogical practices based on the possibilities provided by the proposed m-learning framework. Findings: The effectiveness of any knowledge management system is grounded in the technique used in representing the knowledge. The CKB proposed manipulates knowledge as a dynamic concept network, similar to human knowledge processing, thus, providing a rich semantic capability, which provides various relationships between concepts. Recommendations for Practitioners: Educationist and instructors need to develop new pedagogical practices in line with m-learning. Recommendation for Researchers: The design and implementation of an effective m-learning application are challenging due to the reliance on both pedagogical and technological elements. To tackle this challenge, frameworks which describe the conceptual interaction between the various components of pedagogy and technology need to be proposed. Impact on Society: The creation of an educational platform that provides instant access to relevant knowledge. Future Research: In the future, the proposed framework will be evaluated against some set of criteria for its effectiveness in acquiring and presenting knowledge in a real-life scenario. By analyzing real student interaction in m-learning, the algorithms will be tested to show their applicability in eliciting student metacognition and support for social interactivity.

Aim/Purpose: This study describes a conceptual model, based on the principles of concept algebra that can provide intelligent academic advice using adaptive, knowledge-based feedback. The proposed model advises students based on their traits and academic history. The system aims to deliver adaptive advice to students using historical data from previous and current students. This data-driven approach utilizes a cognitive knowledge-based (CKB) model to update the weights (values that indicate the strength of relationships between concepts) that exist between student’s performances and recommended courses. Background: A research study conducted at the Public Authority for Applied Education and Training (PAAET), a higher education institution in Kuwait, indicates that students’ have positive perceptions of the e-Advising system. Most students believe that PAAET’s e-Advising system is effective because it allows them to check their academic status, provides a clear vision of their academic timeline, and is a convenient, user-friendly, and attractive online service. Student advising can be a tedious element of academic life but is necessary to fill the gap between student performance and degree requirements. Higher education institutions have prioritized assisting undecided students with career decisions for decades. An important feature of e-Advising systems is personalized feedback, where tailored advice is provided based on students' characteristics and other external parameters. Previous e-Advising systems provide students with advice without taking into consideration their different attributes and goals. Methodology: This research describes a model for an e-Advising system that enables students to select courses recommended based on their personalities and academic performance. Three algorithms are used to provide students with adaptive course selection advice: the knowledge elicitation algorithm that represents students' personalities and academic information, the knowledge bonding algorithm that combines related concepts or ideas within the knowledge base, and the adaptive e-Advising model that recommends relevant courses. The knowledge elicitation algorithm acquires student and academic characteristics from data provided, while the knowledge bonding algorithm fuses the newly acquired features with existing information in the database. The adaptive e-Advising algorithm provides recommended courses to students based on existing cognitive knowledge to overcome the issues associated with traditional knowledge representation methods. Contribution: The design and implementation of an adaptive e-Advising system are challenging because it relies on both academic and student traits. A model that incorporates the conceptual interaction between the various academic and student-specific components is needed to manage these challenges. While other e-Advising systems provide students with general advice, these earlier models are too rudimentary to take student characteristics (e.g., knowledge level, learning style, performance, demographics) into consideration. For the online systems that have replaced face-to-face academic advising to be effective, they need to take into consideration the dynamic nature of contemporary students and academic settings. Findings: The proposed algorithms can accommodate a highly diverse student body by providing information tailored to each student. The academic and student elements are represented as an Object-Attribute-Relationship (OAR) model. Recommendations for Practitioners: The model proposed here provides insight into the potential relationships between students’ characteristics and their academic standing. Furthermore, this novel e-Advising system provides large quantities of data and a platform through which to query students, which should enable developing more effective, knowledge-based approaches to academic advising. Recommendation for Researchers: The proposed model provides researches with a framework to incorporate various academic and student characteristics to determine the optimal advisory factors that affect a student’s performance. Impact on Society: The proposed model will benefit e-Advising system developers in implementing updateable algorithms that can be tested and improved to provide adaptive advice to students. The proposed approach can provide new insight to advisors on possible relationships between student’s characteristics and current academic settings. Thus, providing a means to develop new curriculums and approaches to learning. Future Research: In future studies, the proposed algorithms will be implemented, and the adaptive e-Advising model will be tested on real-world data and then further improved to cater to specific academic settings. The proposed model will benefit e-Advising system developers in implementing updateable algorithms that can be tested and improved to provide adaptive advisory to students. The approach proposed can provide new insight to advisors on possible relationships between student’s characteristics and current academic settings. Thus, providing a means to develop new curriculums and approaches to course recommendation.

In the context of US universities where student evaluations of teaching play an important role in the retention and promotion of faculty, it is important to understand what a student expects in the classroom. This study took the perspective of Perry's cognitive development scheme with the following research question: what is the Perry level of cognitive development of business students? An established survey was used at two different universities. It was found that the median was position 3, and that there was large variation in three dimensions. First is the variation across program levels. Second, there was variation across universities. This becomes an issue when instructors move to a different university and questions the possibility to transfer 'best practices'. Third, variation was found within a specific program level. This means that instructors are faced with students who, from a cognitive perspective, have different demands which are unlikely to be simultaneously met.

The impact that Facebook and Twitter usage has on the creation and maintenance of university student’s cognitive social capital was investigated on students in the Western Cape province of South Africa. Facebook and Twitter were selected as part of the research context because both are popular online social network systems (SNSs), and few studies were found that investigated the impact that both Facebook and Twitter have on the cognitive social capital of South African university students. Data was collected from a survey questionnaire, which was successfully completed by over 100 students from all 5 universities within the Western Cape. The questionnaire was obtained from a previous study, allowing comparisons to be made. Analysis of the results however, did not show a strong relationship between the intensity of Facebook and Twitter usage, and the various forms of social capital. Facebook usage was found to correlate with student’s satisfaction with university life; which suggests that increasing the intensity of Facebook usage for students experiencing low satisfaction with university life might be beneficial.

Aim/Purpose: The paper introduces new concepts including cognitive mapping, cognitive message processing, and message resonance. Background: This paper draws upon philosophy, psychology, physiology, communications, and introspection to develop the theory of cognitive mapping. Methodology: Theory development Contribution: The theory offers new ways to conceptualize the informing process. Findings: Cognitive mapping has a far-reaching explanatory power on message resonance. Recommendation for Researchers: The theory of cognitive mapping offers a new conceptualization for those exploring the informing process that is ripe for exploration and theory testing. Future Research: This paper forms a building block toward the development of a fuller model of the informing process.

China's military is advancing the development of high-technology arms, including sound weapons to wage cognitive warfare -- the use of unconventional tools and capabilities to alter enemy thinking and decision-making, according to a new open-source intelligence report.

Toronto — Middle-aged and older adults who have worked the night shift or rotating shifts are significantly more likely to experience cognitive impairment, results of a recent study suggest.

Fort Collins, CO — Physically demanding work may lead to poor memory and faster aging of the brain among older adults, results of a recent study led by researchers from Colorado State University show.

Linz, Austria — Shift work may be associated with poorer memory and slower mental processing speed, as well as lower levels of alertness and visual focus, results of a recent study out of Austria suggest.

Lansing, MI — If you rely on caffeine to provide a brain boost after a poor night of sleep, findings of a recent study from researchers at Michigan State University may give you a jolt.

Nutrition21, LLC, an Everwell Health company, shared new insights into the cognitive health category and noted that the sector is poised to be one of the fastest growing health areas of the year.

Bigelow says the Peak Energy Black Tea features caffeine and L-Theanine to benefit brain and mood with sustained clarity and focus. Whispering Wildflowers is a caffeine-free, herbal tea with a rosy purple color and a floral blend of lavender, rose, passionflower, and butterfly pea flower that finishes with a hint of sweetness. 

The post Alternatives for Families: A Cognitive-Behavioral Therapy (AF-CBT) was curated by information for practice.

The post Efficacy of a culturally adapted, cognitive behavioural therapy-based intervention for postnatal depression in British south Asian women (ROSHNI-2): a multicentre, randomised controlled trial was curated by information for practice.

The post Feeling close to others? Social cognitive mechanisms of intimacy in personality disorders was curated by information for practice.

The post Cognitive Remediation and Transcranial Direct Current Stimulation in Severe Mental Illness (SMI) (HEADDSET+) was curated by information for practice.

Volume 36, Issue 5, September-October 2024, Page 427-433. Read the full article ›

The post Impact of work type and APOE-e4 status on cognitive functioning in older women was curated by information for practice.

The Wiser Way explained the overarching concept of cognitive distortion, an "all or nothing" way of thinking and how to break its cycle.

Cognitive training, blood pressure management for people with hypertension, and increased physical activity all show modest but inconclusive evidence that they can help prevent cognitive decline and dementia, but there is insufficient evidence to support a public health campaign encouraging their adoption, says a new report from the National Academies of Sciences, Engineering, and Medicine.

Today the National Academies of Sciences, Engineering, and Medicine released its review of the National Toxicology Program’s (NTP) draft monograph Systematic Review of Fluoride Exposure and Neurodevelopmental and Cognitive Health Effects.

The National Academies of Sciences, Engineering, and Medicine released today a review of the National Toxicology Program’s (NTP) second draft of the monograph Systematic Review of Fluoride Exposure and Neurodevelopmental and Cognitive Health Effects.

With consumers’ brains in overdrive, many are turning to beverages that support their mental well-being.

Given the demand for ingredients that support cognitive health and energy enhancement, ingredient suppliers caution that formulation is more complicated than simply adding into the formula.

Although on-the-go lifestyles are prompting interest in beverages with an energy and cognitive focus, experts highlight that purity and effectiveness are leading new product development.

Sydney Ceruto is an experienced brain-based coach, counselor and founder of MindLAB Neuroscience

Statement Highlights: Previous studies have found that 14-81% of patients with heart failure experience some degree of cognitive impairment affecting language, memory or executive function. Evidence also indicates that people with atrial fibrillation...

Nov 15, 2024, 1:30pm EST

Robert M. G. Reinhart is an associate professor and the director of Reinhart Laboratory at Boston University. Research in his laboratory seeks to understand the nature of visual perception and cognition (e.g., attention, working memory, executive control, learning) in the healthy adult brain; how these processes break down in normal aging and neuropsychiatric illnesses, such as schizophrenia; and how we can leverage insights from basic and clinical science to develop novel interventions for optimizing cognition in healthy people and restoring abilities in aging and clinical populations.

Building: Joyce Cummings Center
Campus Location: Medford/Somerville campus
City: Medford, MA 02155
Campus: Medford/Somerville campus
Location Details: JCC 270
Open to Public: No
More info: tufts.app.box.com…

Sophia Antipolis, 9 January 2023

The ETSI group on Experiential Networked Intelligence (ISG ENI) has just published a White Paper describing the design of a novel cognitive network. This White Paper explains how the ETSI ENI novel system architecture (based on ETSI GS ENI-005) intelligently manages, predicts, adjusts and optimises network behaviour using cognition management, thereby enhancing the operator experience.

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Proteomics identifies potential immunological drivers of postinfection brain atrophy and cognitive decline  Nature.com

Kobe JALT (Kobe Chapter of the Japan Association for Language Teaching). December 8 (Sun), 14:00-15:30 in Kobe, Hyogo. Stephen McNamara (Kwansei Gakuin University).

Location: Electronic Resource- 

 I just published a new law review article with the Seattle University Law Review entitled: Students for Fair Admissions: Affirming Affirmative Action and Shapeshifting Towards Cognitive Diversity? The article can be downloaded here: https://digitalcommons.law.seattleu.edu/sulr/vol47/iss4/7/. Here is the abstract:

The Roberts Court holds a well-earned reputation for overturning Supreme Court precedent regardless of the long-standing nature of the case. The Roberts Court knows how to overrule precedent. In Students for Fair Admissions v. Harvard (SFFA), the Court’s majority opinion never intimates that it overrules Grutter v. Bollinger, the Court’s leading opinion permitting race-based affirmative action in college admissions. Instead, the Roberts Court applied Grutter as authoritative to hold certain affirmative action programs entailing racial preferences violative of the Constitution. These programs did not provide an end point, nor did they require assessment, review, periodic expiration, or revision for greater institutional efficacy, including possible race-neutral alternatives. The programs also failed to break down stereotypes through the introduction of a critical mass to empower diverse voices. The programs thereby resembled prohibited quotas or racial balancing. As such, the programs at issue violated Grutter, which still governs race-based affirmative action in college admissions. More importantly, the Roberts court paved the way for more expansive diversity-based admissions programs by permitting institutions to value individual racial experiences, which authentically further an institution’s mission and interests. After SFFA, the use of race as a factor could well face time limits. Contrastingly, individualized racial experiences may benefit college applicants at institutions that embrace diversity in an authentic way without facing any time limitation. Further, institutions with distinct missions may value diversity in a race-conscious way but without any racial preference. In sum, the Roberts Court guides the use of race in college admissions toward a race-neutral, diversity-based paradigm such that institutions may still unlock the empirically proven benefits of cultural diversity with only de minimus interference from the courts. This approach rests upon a powerful policy basis that leads to superior innovation, macroeconomic outcomes, social cohesion and, therefore, superior national security for the United States. This approach thus could support a powerful interest convergence.

The article shows that Supreme Court did not overrule its prior affirmative action precedents, and in fact paved the way for universities to embrace cultural and cognitive diversity to enrich their educational missions. This is important because the case has been widely misconstrued.

My next article will extend the Court's holding to corporate DEI efforts and demonstrate that such efforts are not only remain lawful but also essential to rational human resources management.

Last weekend I had a lively discussion with a friend about Pagans she has met who don’t condone or accept the LGBT community, especially as it is intermingled with Paganism.  She has met some of this ilk (I have not) and described how they do not condone non-straight sexuality when it is expressed in Paganism, and how this type also has a limited view of what should be expressed as Paganism, and other expressions are wrong.

I gave her the impression I was surprised to hear this, but it was not surprise, but shock.  I knew intellectually that this type exists (since all types of everything exist,) but this was the first I had heard of actual encounters with such thinking.

We followers of Earth-based spirituality are persecuted and ridiculed enough with us doing it to ourselves.  Think of how Christine O’Donnell (who has no business holding public office, but that is another story) was openly ridiculed when an old clip of her surfaced where she stated she dabbled in witchcraft.  It tanked whatever chances she had in her Senatorial race, and was it because she was the wrong picture to put on the pagan community?  No, it was because any inference that one is a practicing pagan is social suicide in most parts of the United States.

We pagans need to be accepting of each other, and open to the great cosmos that is all of us.  There is no “right” or “wrong” way to be a pagan.

Those who think otherwise are suffering from cognitive dissonance.

Daniel Osherson, Princeton’s Henry R. Luce Professor in Information Technology, Consciousness, and Culture, Emeritus, known for his  creative scientific explorations with collaborators in many disciplines, died at home on Sept. 4. 

Cognitive decline with age is a harmful process that can reduce quality of life. Multiple factors have been established to contribute to cognitive decline, but the overall etiology remains unknown. Here, we hypothesized that cognitive dysfunction is mediated, in part, by increased levels of inflammatory cytokines that alter allopregnanolone (AlloP) levels, an important neurosteroid in the brain. We assessed the levels and regulation of AlloP and the effects of AlloP supplementation on cognitive function in 4-month-old and 24-month-old male C57BL/6 mice. With age, the expression of enzymes involved in the AlloP synthetic pathway was decreased and corticosterone (CORT) synthesis increased. Supplementation of AlloP improved cognitive function. Interestingly, interleukin 6 (IL-6) infusion in young animals significantly reduced the production of AlloP compared with controls. It is notable that inhibition of IL-6 with its natural inhibitor, soluble membrane glycoprotein 130, significantly improved spatial memory in aged mice. These findings were supported by in vitro experiments in primary murine astrocyte cultures, indicating that IL-6 decreases production of AlloP and increases CORT levels. Our results indicate that age-related increases in IL-6 levels reduce progesterone substrate availability, resulting in a decline in AlloP levels and an increase in CORT. Furthermore, our results indicate that AlloP is a critical link between inflammatory cytokines and the age-related decline in cognitive function.