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M. P. R. I. R. Silva; R. A. H. M. Rupasingha; B. T. G. S. Kumara – Technology, Pedagogy and Education, 2024
Today, in every academic institution as well as the university system assessing students' performance, identifying the uniqueness of each student and finding solutions to performance problems have become challenging issues. The main purpose of the study is to predict how student performance changes as a result of their behaviours, hobbies,…
Descriptors: Artificial Intelligence, Student Evaluation, Prediction, Recreational Activities
Diane K. Angell; Sharon Lane-Getaz; Taylor Okonek; Stephanie Smith – CBE - Life Sciences Education, 2024
Preparing for exams in introductory biology classrooms is a complex metacognitive task. Focusing on lower achieving students (those with entering ACT scores below the median at our institution), we compared the effect of two different assignments distributed ahead of exams by dividing classes in half to receive either terms to define or open-ended…
Descriptors: Test Preparation, Metacognition, Introductory Courses, Biology
Ei T. Myint; Rachael D. Robnett – European Journal of Psychology of Education, 2024
The current study focuses on how academic motivation, academic identity, and gender work in concert to predict STEM career aspirations. We examined these relations in a sample of adolescents who predominantly identified as East Asian American (61%), which afforded insight into how career decision-making operates among students who are not well…
Descriptors: Student Motivation, Self Concept, Gender Differences, Prediction
Gerard Beenen; Shaun Pichler; Jenny Zhang – Journal of Education for Business, 2024
Student teams are routine in business education, yet instructors lack research-based strategies to promote personal learning in teams. Our study's purpose therefore is to investigate how a dual emphasis on social identity and individual autonomy in teams may enhance students' personal learning. In a study of 557 business undergrads in 215 teams,…
Descriptors: Self Concept, Business Administration Education, Teamwork, Personal Autonomy
Jionghao Lin; Wei Tan; Lan Du; Wray Buntine; David Lang; Dragan Gasevic; Guanliang Chen – IEEE Transactions on Learning Technologies, 2024
Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…
Descriptors: Classification, Dialogs (Language), Teaching Methods, Computer Assisted Instruction
Pernille Bødtker Sunde; Bert De Smedt; Lieven Verschaffel; Peter Sunde – European Journal of Psychology of Education, 2024
Early detection of and relevant information on children's mathematical difficulties is important to initiate targeted teaching and intervention. This study investigated the extent to which strategy use in single-digit addition provides additional predictive information about 61 grade one children's (6-year-old) mathematical achievement 3 years…
Descriptors: Grade 1, Addition, Grade 4, Mathematics Achievement
Yuye Ke; Xiaoyun Chai – Health Education & Behavior, 2024
Hazardous/harmful drinking among college students is increasingly becoming a global health concern. Previous studies have mostly paid more attention to the prevalence and risk factors of alcohol use disorder based on the public health approach, and less is understood about psychological mechanisms and protective factors of problem drinking…
Descriptors: Foreign Countries, Alcohol Abuse, College Students, Self Concept
Rana Abu-Zhaya; Inbal Arnon – Language Learning, 2024
Making adults learn from larger linguistic units can facilitate learning article-noun agreement. Here we ask whether initial exposure to larger units improves learning by increasing the predictive associations between the article and noun. Using an artificial language learning paradigm, we taught 106 Hebrew-speaking participants novel article-noun…
Descriptors: Prediction, Grammar, Second Language Instruction, Second Language Learning
Edem Maxwell Azila-Gbettor – Journal of Applied Research in Higher Education, 2024
Purpose: The paper aims to propose a mediation moderated model to examine the influence of academic reliance on students' intellectual engagement. Design/methodology/approach: Four hundred and seventy-one respondents who completed a self-reported questionnaire were chosen to participate in the study using a convenient sampling technique. The…
Descriptors: Resilience (Psychology), Academic Support Services, Academic Achievement, Learner Engagement
Stefanie A. Wind; Yangmeng Xu – Educational Assessment, 2024
We explored three approaches to resolving or re-scoring constructed-response items in mixed-format assessments: rater agreement, person fit, and targeted double scoring (TDS). We used a simulation study to consider how the three approaches impact the psychometric properties of student achievement estimates, with an emphasis on person fit. We found…
Descriptors: Interrater Reliability, Error of Measurement, Evaluation Methods, Examiners
Firas Almasri – Research in Science Education, 2024
The use of Artificial Intelligence (AI) in education is transforming various dimensions of the education system, such as instructional practices, assessment strategies, and administrative processes. It also plays an active role in the progression of science education. This systematic review attempts to render an inherent understanding of the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Outcomes of Education, Science Education
Ugur Sener; Salvatore Joseph Terregrossa – SAGE Open, 2024
The aim of the study is the development of methodology for accurate estimation of electric vehicle demand; which is paramount regarding various aspects of the firms decision-making such as optimal price, production level, and corresponding amounts of capital and labor; as well as supply chain, inventory control, capital financing, and operational…
Descriptors: Motor Vehicles, Artificial Intelligence, Prediction, Regression (Statistics)
Rachael W. Cheung; Chloe Austerberry; Pasco Fearon; Marianna E. Hayiou-Thomas; Leslie D. Leve; Daniel S. Shaw; Jody M. Ganiban; Misaki N. Natsuaki; Jenae M. Neiderhieser; David Reiss – Child Development, 2024
Parenting and children's temperament are important influences on language development. However, temperament may reflect prior parenting, and parenting effects may reflect genes common to parents and children. In 561 U.S. adoptees (57% male) and their birth and rearing parents (70% and 92% White, 13% and 4% African American, and 7% and 2% Latinx,…
Descriptors: Genetics, Nature Nurture Controversy, Child Development, Language Acquisition
MOOC Performance Prediction and Analysis via Bayesian Network and Maslow's Hierarchical Needs Theory
Luyu Zhu; Jia Hao; Jianhou Gan – Interactive Learning Environments, 2024
Nowadays, Massive Open Online Courses (MOOC) has been gradually accepted by the public as a new type of education and teaching method. However, due to the lack of timely intervention and guidance from educators, learners' performance is not as effective as it could be. To address this problem, predicting MOOC learners' performance and providing…
Descriptors: MOOCs, Academic Achievement, Prediction, Bayesian Statistics
Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement

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