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Kevin C. Haudek; Xiaoming Zhai – International Journal of Artificial Intelligence in Education, 2024
Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…
Descriptors: Accuracy, Persuasive Discourse, Artificial Intelligence, Learning Management Systems
Ha Nguyen; Jake Hayward – Journal of Science Education and Technology, 2025
High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…
Descriptors: Science Tests, Criticism, Artificial Intelligence, Technology Uses in Education
Stevenson, Michael; Hedberg, John; Highfield, Kate; Diao, Mingming – Electronic Journal of e-Learning, 2015
In many K-12 and higher education contexts, the use of smart mobile devices increasingly affords learning experiences that are situated, authentic and connected. While earlier reviews of mobile technology may have led to criticism of these devices as being largely for consumption, many current uses emphasize creativity and productivity, with…
Descriptors: Information Technology, Technology Uses in Education, Criticism, Creativity
McVerry, J. Gregory – Educational Technology, 2011
In today's classrooms, students now turn to the Internet as their primary source of information, though the common belief in the idea that "digital natives" can easily traverse a landscape littered with misconceptions, multiple perspectives, and competing ideas has large implications in the classroom. Research into students reading multiple online…
Descriptors: Criticism, Primary Sources, Internet, Misconceptions
Clark, Richard E.; Choi, Sunhee – Journal of Educational Computing Research, 2007
The point of Choi and Clark (2006) was that after many well-designed studies, they have no evidence for either the learning or the motivational benefits of pedagogical agents. In their study, they found compelling evidence that when agents are found to enhance learning, a less expensive and less distracting pedagogical method has equal or greater…
Descriptors: Teaching Methods, Instructional Effectiveness, Aesthetics, Criticism
Veletsianos, George – Journal of Educational Computing Research, 2007
Choi and Clark (2006) argue that learning is attributed to the instructional method rather than the specific medium used to deliver instruction (i.e., the pedagogical agent). Additionally, they consider pedagogical agents as unnecessarily expensive tools, whose instructional affordances can be replicated by less expensive options. In this response…
Descriptors: Teaching Methods, Instructional Effectiveness, Aesthetics, Criticism