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Amanda Preston; Paul Szikszai; Valdeep Saini; Ryan Brightman – Journal of Applied Behavior Analysis, 2024
When applied to functional analysis results, structured visual inspection criteria have resulted in improvements in the levels of agreement between raters as well as earlier identification of the function of challenging behavior. However, multistep criteria can be difficult to apply in real time, which could be a barrier to widespread adoption in…
Descriptors: Functional Behavioral Assessment, Spreadsheets, Decision Support Systems, Behavior Modification
Ujué Agudo; Karlos G. Liberal; Miren Arrese; Helena Matute – Cognitive Research: Principles and Implications, 2024
Automated decision-making is becoming increasingly common in the public sector. As a result, political institutions recommend the presence of humans in these decision-making processes as a safeguard against potentially erroneous or biased algorithmic decisions. However, the scientific literature on human-in-the-loop performance is not conclusive…
Descriptors: Foreign Countries, Spanish Speaking, Artificial Intelligence, Court Litigation
Liang, Garston; Sloane, Jennifer F.; Donkin, Christopher; Newell, Ben R. – Cognitive Research: Principles and Implications, 2022
In three experiments, we sought to understand when and why people use an algorithm decision aid. Distinct from recent approaches, we explicitly enumerate the algorithm's accuracy while also providing summary feedback and training that allowed participants to assess their own skills. Our results highlight that such direct performance comparisons…
Descriptors: Decision Support Systems, Accuracy, Difficulty Level, Feedback (Response)
Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
Noor Maizura Mohamad Noor; Nur Azhani Rosly; Noraaini Ali; Faaizah Shahbodin; Rohayu Abdul Ghani – International Society for Technology, Education, and Science, 2023
Higher education institutions should rely on the success of educators to deliver quality education in an increasingly economic context. The definition of the competencies necessary for an effective educator rest on top higher education management. Institutions of higher learning may also enhance cognitive abilities. The development of cognitive…
Descriptors: Decision Making, Teacher Evaluation, Teacher Competencies, Self Evaluation (Individuals)
Moran P. Lee; Abubakir Siedahmed; Neil T. Heffernan – Grantee Submission, 2024
Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Reinforcement
Thieme, Alison; Glennie, Erin; Oddo, Perry; McCartney, Sean; Ruid, Madeline; Anand, Anupam – American Journal of Evaluation, 2022
Deforestation is an environmental stressor that dramatically threatens biodiversity while having adverse, deep-rooted, socioeconomic impacts. Interventions to address deforestation require considerable long-term investments; therefore, assessing their impact is crucial. The UN Convention on Biological Diversity encourages establishing protected…
Descriptors: Decision Support Systems, Forestry, Outcome Measures, Conservation (Environment)
Songer, Robert Wesley; Yamamoto, Tomohito – Educational Research and Reviews, 2023
Recommender systems in education aim to help students make good decisions about the direction of their learning. The design of such systems in conventional research has treated the decision making process of students as a black box and assumes the best recommendations to be those that accurately predict student choices. Such an approach overlooks…
Descriptors: Artificial Intelligence, Decision Making, Decision Support Systems, Engineering Education
Arfaee, Mohammad; Bahari, Arman; Khalilzadeh, Mohammad – Education and Information Technologies, 2022
Human resources training is considered an effective solution in empowering human resources. Organizations try to have effective educational planning for this precious resource by identifying shortcomings through a need assessment. This study provides a model based on organizational data analysis to achieve a unique and appropriate training…
Descriptors: Prediction, Models, Educational Planning, Data Analysis
Samaranayake, Sobitha; Gunawardena, Athula D. A.; Meyer, Robert R. – Athens Journal of Education, 2023
Many students in the Unites States enter college without having decided on a focus for their studies, and thus are faced with choosing from a large number of potential majors and associated very complex sets of degree requirements which can include many courses in other areas of study. Academic advisors use academic planning tools to help students…
Descriptors: College Students, Degree Requirements, Academic Degrees, Decision Support Systems
Zachary Bleemer – Center for Studies in Higher Education, 2024
Average-wage-by-major statistics have become widely available to students interested in the economic ramifications of their college major choice. However, earning a major with higher average wages does not necessarily lead individual students to higher-paying careers. This essay combines literature review with novel analysis of longitudinal…
Descriptors: College Students, Majors (Students), Course Selection (Students), Career Choice
Dylan M. Platt; Carrie L. Blout Zawatsky; Kurt D. Christensen; Robert C. Green; Catherine Hajek; Madison R. Hickingbotham; Allison M. Hutchinson; Jessica L. LeBlanc; Emilie S. Zoltick; Leila Jamal – Health Education & Behavior, 2025
Elective genetic testing (EGT) programs that provide pharmacogenomic information to guide medication management and screen for medically actionable disease predispositions are emerging in a number of health systems. Primary care providers (PCPs) are at the forefront of test initiation, patient education, and management of EGT results. However,…
Descriptors: Genetics, Testing, Primary Health Care, Attitudes
Teixeira, José; Alves, Sandro; Mariz, Pedro; Almeida, Fernando – International Journal of Educational Management, 2023
Purpose: The current student selection process for short-term mobility actions under the Erasmus + program (i.e. intensive programs and blended intensive programs) is based exclusively on the students' order of enrolment and their grades. This study offers an alternative approach using the analytic hierarchy process based on a four-layer model…
Descriptors: Foreign Countries, Decision Support Systems, Admission Criteria, Student Mobility
Lin, Chin-Tsai; Chang, Shih-Jui; Chen, Yung-Hui – Journal of Educational Computing Research, 2022
With the progress and innovation of digital technology, people's knowledge acquisition, information exchange, and communication modes have changed significantly. The universality of emerging technology media enables instructional designers to use digital media to provide different teaching materials and teaching methods to meet the needs of…
Descriptors: Introductory Courses, Computer Science Education, Computer Uses in Education, Educational Technology
Gibson, Matthew J.; Luong, Justin; Cho, Hanbit; Moh, Bryan; Zanin, Simone; Djatmiko, Mentari; Aandahl, R. Zach – Australasian Journal of Educational Technology, 2022
Student evaluation surveys provide educational institutions with important feedback regarding the student experience of teaching and courses; however, qualitative comments can contain offensive, insulting or threatening content. Large educational institutions generate thousands of comments per academic term; therefore, manual screening processes…
Descriptors: Foreign Countries, Student Evaluation of Teacher Performance, College Students, Feedback (Response)