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Adelina Asmawi; Md. Saiful Alam – Discover Education, 2025
In the evolving techno-educational landscape, it is crucial to reimagine transformative pedagogies based on techno-teacher collaboration to revolutionize teaching effectiveness and efficiency. Although the cutting-edge generative AI tool, Chat GPT, is speculated to be a revolutionary CALL (computer-assisted language learning) tool for teaching…
Descriptors: Reading Instruction, Teaching Methods, Computer Assisted Instruction, Instructional Effectiveness
Ivan Danar Aditya Irawan; Sentot Kusairi; Khusaini; Nur Akhyar Basri; Revnika Faizah; Muhammad Habibbulloh – Science Education International, 2025
In physics learning that emphasizes a student-centered approach, formative feedback strategically improves students' conceptual understanding and learning motivation. However, implementing feedback in the learning environment still faces various obstacles, including time constraints, many students, and a lack of personalization in its delivery.…
Descriptors: Physics, Formative Evaluation, Feedback (Response), Student Needs
Corinna Hankeln; Ulf Kroehne; Lea Voss; Sebastian Gross; Susanne Prediger – Educational Technology Research and Development, 2025
For several decades, digital formative assessment tools and platforms have been promoted as promising for supporting adaptive teaching. For learning goals such as procedural fluency, this promise has been held across a range of subject-matter topics. For conceptual learning goals, however, the available digital formative assessment tools are much…
Descriptors: Technology Uses in Education, Formative Evaluation, Learning Objectives, Educational Research
Grönlund, Agneta; Samuelsson, Joakim; Samuelsson, Johan – Education Inquiry, 2023
Teachers' feedback via Learning Management Systems (LMSs) is studied within the subject of social studies at upper secondary school in Sweden. A qualitative study involved classroom observations within LMSs, gathering teachers' feedback on pupils' submitted assignments, and semi-structured interviews with six teachers. With the support of activity…
Descriptors: Documentation, Feedback (Response), Learning Management Systems, Social Studies
Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
Zheng, Chunping; Wang, Lili; Chai, Ching Sing – Computer Assisted Language Learning, 2023
Although formative assessment has been recognized as an effective way for improving learning, scant attention has been paid to the specific design on the sequence of applying formative assessment practice in computer-assisted language learning (CALL). Even less emphasis has been devoted to the cognitive and affective outcomes of different orders…
Descriptors: Self Evaluation (Individuals), Peer Evaluation, Video Technology, Formative Evaluation
Steffen Steinert; Lars Krupp; Karina E. Avila; Anke S. Janssen; Verena Ruf; David Dzsotjan; Christian De Schryver; Jakob Karolus; Stefan Ruzika; Karen Joisten; Paul Lukowicz; Jochen Kuhn; Norbert Wehn; Stefan Küchemann – Education and Information Technologies, 2025
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…
Descriptors: Higher Education, Open Educational Resources, STEM Education, Feedback (Response)
Asmaa Falah Theiyab Alazemi – Language Testing in Asia, 2024
This paper investigates the effects of formative assessment (FA) via artificial intelligence (AI) on EFL students' reading comprehension development, online academic enjoyment, personal best goals (PBGs), and academic mindfulness. To achieve this, 80 Kuwaiti students were selected through convenience sampling and divided into the experimental…
Descriptors: Formative Evaluation, Artificial Intelligence, Reading Comprehension, Electronic Learning
Jonathan Scrivner – ProQuest LLC, 2024
Math anxiety levels directly and negatively impact student performance in the math classroom. Educators must work to implement instructional strategies that effectively reduce math anxiety and improve student math performance. This study evaluated mastery learning interventions as an effective tool for reducing math anxiety among middle school…
Descriptors: Mathematics Anxiety, Stress Management, Middle School Students, Secondary School Mathematics
R. Rosario; T. S. Hopper; A. Huang-Saad – Biomedical Engineering Education, 2022
There are increasing calls for the use of research-based teaching strategies to improve engagement and learning in engineering. In this innovation paper, we detail the application of research-based teaching strategies in a computer programming focused biomedical engineering module. This four-week, one-credit undergraduate biomedical engineering…
Descriptors: Undergraduate Students, Biomedicine, Engineering Education, Programming
Savonen, Candace; Wright, Carrie; Hoffman, Ava M.; Muschelli, John; Cox, Katherine; Tan, Frederick J.; Leek, Jeffrey T. – Journal of Statistics and Data Science Education, 2023
Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time…
Descriptors: Open Source Technology, Multiple Choice Tests, Summative Evaluation, Formative Evaluation
Yasuyo Sawaki; Yutaka Ishii; Hiroaki Yamada; Takenobu Tokunaga – Language Testing in Asia, 2024
The present paper provides an overview of an online module for formative assessment of summary writing skills for second language (L2) introductory academic writing instruction in Japan and presents initial empirical results on how Japanese undergraduate students' summary writing performance changed with a series of automated summary content…
Descriptors: Formative Evaluation, Writing Evaluation, Language Usage, Task Analysis
Chunping Zheng; Xu Chen; Huayang Zhang; Ching Sing Chai – Language Learning & Technology, 2024
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…
Descriptors: Peer Evaluation, Comparative Analysis, Feedback (Response), Self Evaluation (Individuals)
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
Abdelghani Es-Sarghini; Abdelaziz Boumahdi – Australian Journal of Applied Linguistics, 2025
The assessment of writing competency in French as a Foreign Language presents significant challenges due to the multidimensional nature of writing and heterogeneous evaluation practices. This research introduces an innovative framework integrating artificial intelligence and interactive visualization to support the formative assessment of writing…
Descriptors: French, Second Language Learning, Second Language Instruction, Artificial Intelligence
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