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Eva de Schipper; Remco Feskens; Franck Salles; Saskia Keskpaik; Reinaldo dos Santos; Bernard Veldkamp; Paul Drijvers – Large-scale Assessments in Education, 2025
Background: Students take many tests and exams during their school career, but they usually receive feedback about their test performance based only on an analysis of the item responses. With the increase in digital assessment, other data have become available for analysis as well, such as log data of student actions in online assessment…
Descriptors: Problem Solving, Mathematics Instruction, Learning Analytics, Identification
Christina Hubertina Helena Maria Heemskerk; Claudia M. Roebers – Journal of Cognition and Development, 2024
Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…
Descriptors: Cognitive Ability, Reaction Time, Accuracy, Feedback (Response)
Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
Mona Najjarpour; Esmaeel Ali Salimi – International Journal of Language Testing, 2024
While the potential of Dynamic Assessment (DA) and its variants (Computerized Dynamic Assessment (CDA) and Group Dynamic Assessment (GDA)) for EFL classrooms has been recognized, there is a lack of research on its practical implementation compared to the well-established field of Summative Assessment (SA). Thus, the objective of this qualitative…
Descriptors: Summative Evaluation, English (Second Language), Second Language Learning, Second Language Instruction
Zhang, Ling; Jackson, Haidee A.; Hunt, Tiffany L.; Carter, Richard Allen; Yang, Sohyun; Emerling, Christopher R. – TEACHING Exceptional Children, 2022
Mathematical problem solving is a complex cognitive activity, which poses difficulties for students with and without disabilities in inclusive learning environments. With a variety of functions, Learning Management Systems (LMSs) have the potential to enhance personalized learning to meet the diverse needs of all students. This paper provides…
Descriptors: Integrated Learning Systems, Mathematics Skills, Problem Solving, Evidence Based Practice
Kochem, Tim; Beck, Jeanne; Goodale, Erik – CALICO Journal, 2022
Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…
Descriptors: Computer Software, Teaching Methods, Audio Equipment, Computer Assisted Instruction
Vittoria Bonanzinga; Francesca Casasso; Cecilia Fissore; Valeria Fradiante; Marina Marchisio – International Association for Development of the Information Society, 2022
From 2020/2021 the evaluation of students' learning in primary school is no longer expressed through a decimal-based score, but through a descriptive assessment, in a more formative perspective of evaluation. In addition, the widespread use of technological tools in school has changed the teaching/learning process and it has highlighted the need…
Descriptors: Teacher Education Programs, Elementary School Teachers, Formative Evaluation, Teaching Methods
Mazhar Bal; Emre Öztürk – British Educational Research Journal, 2025
The purpose of this study is to examine the relationship between technology-supported writing instruction at the K-12 level and deep learning approaches and to understand the trends in this field. In the study, 12 articles selected from Web of Science, Scopus, ERIC and EBSCO databases were systematically analysed. The findings reveal that the…
Descriptors: Learning Processes, Writing Processes, Writing Skills, Writing Instruction
Rukthin Laoha; Wichittra Chomthong; Weerapa Pongpanich – Higher Education Studies, 2025
The integration of Artificial Intelligence (AI) into English as a Foreign Language (EFL) education has transformed teaching practices, necessitating a re-evaluation of teacher competencies in the digital age. This systematic review examines the intersection of AI technologies and EFL teachers' competencies, exploring how AI tools influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Instruction, English (Second Language)
Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
Nicholas, Allan; Blake, John; Mozgovoy, Maxim – Research-publishing.net, 2021
Email remains a key mode of communication between faculty and students in higher education institutions. Composing appropriate email texts is an important skill for learners; however, little technological support is available for the pragmatic aspect of email communication -- the ways in which social context influences language choices.…
Descriptors: Electronic Mail, Second Language Learning, Second Language Instruction, English (Second Language)
Ferman, Sara; Shmuel, Sapir Amira; Zaltz, Yael – Language Learning and Development, 2022
The acquisition of a new morphological rule can be influenced by numerous factors, including the type of feedback provided during learning. The present study aimed to test the effect of different feedback types on children's ability to learn and generalize an artificial morphological rule (AMR). Two groups of eight-year-olds learned to judge and…
Descriptors: Morphology (Languages), Feedback (Response), Error Correction, Learning Processes
Rosin, Triin; Vaino, Katrin; Soobard, Regina; Rannikmäe, Miia – Science Education International, 2021
Competence-based, science e-testing (CBSeT) is a novel external assessment tool which provides feedback to science teachers about their students' competence-based skills, thereby giving relevant assessment information which teachers could potentially use in their teaching practice. The aim of this study was to determine the extent to which…
Descriptors: Foreign Countries, Science Teachers, Beliefs, Science Tests
Ana M. Di´ez-Pascual; Beatriz Jurado-Sa´nchez – Journal of Chemical Education, 2022
This paper describes the transfer from face-to-face education to emergency remote teaching of chemistry laboratory courses in a bachelor's degree in Pharmacy during the COVID-19 pandemic. The virtualization was carried out using videos of each experimental practice and questionnaires containing the experimental data needed. The contents were…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Active Learning
Kamber, David N. – Journal of Chemical Education, 2021
In-person interactions between faculty and students personalize the learning experience and are the hallmark of primarily undergraduate institutions. These invaluable student--faculty interactions were disrupted during the 2019 SARS-CoV-2 global pandemic and led to a rapid, unprecedented shift to distance-learning. Within the space of virtual…
Descriptors: Biochemistry, Science Instruction, Teaching Methods, Undergraduate Students

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