This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…

Problem-based learning puts students in situations that suggest problems without providing instructions and available knowledge. Therefore, when using problem-based learning, students need to be flexible, self-disciplined, active and self-occupied with knowledge and turn the knowledge the teacher intends to impart into their knowledge. For locus…

An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…

An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…

Among the various challenges that adult and other late language learners face on their journey to achieving nativelike proficiency, chunking has been identified as one of the most difficult tasks to master. Language users are able to derive and utilize chunks during language processing -- both in the first (L1) and the second language (L2) -- yet…

Purpose: The purpose of this paper is to illustrate how associationism mistakenly assumes that direct experience is possible; that is, there is expectation-free observation and association without prior expectation. Thus, associationism assumes that learning involves the absorption of information from the environment itself. However, contrary…

Instilling a creative mind is the foundation to prepare future architecture students. University educators can adopt an iterative approach in which students go through cycles of learning. This paper reports student experiences on a three-cycle team project in an architecture course that was part of a master program. This consisted of the group…

When learning English, learners might face a challenging task in mastering pronunciation due to differences in both languages such as sound-to-letter correspondence, size of phoneme inventory, allophonic realization of sounds, place and manner of articulation, among others. Therefore, the purpose of this paper is to review both theoretical and…

The emergence of empirical approaches to L2 pronunciation research and teaching is a powerful "fourth wave" in the history of the field. Authored by two leading proponents of evidence-based instruction, this volume surveys both foundational and cutting-edge empirical work and pinpoints its ramifications for pedagogy. The authors begin by…

This study presents a new simulation game and analyzes its impact on operations management education. The proposed simulation was empirically tested by comparing the number of mistakes during the first and second halves of the game. Data were gathered from 100 teams of four or five undergraduate students in business administration, taking their…

Heritage learners comprise a substantial proportion of second language learners, including L2 Korean learners. Previous studies have shown that the vast majority of heritage language learners display weakness in orthographic accuracy. Due to their previous extended exposure to oral discourse and limited experience in written language, heritage…

This paper empirically investigates elder care nurses' negative knowledge. This form of experiential knowledge is defined as the outcome of error-related learning processes, focused on how something is not, on what not to do in certain situations or on deficits in one's knowledge or skills. Besides this definition, we presume the existence of…

We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to…

Certain misunderstandings in science, mathematics, and computer programing reflect analogous underlying difficulties. These misunderstandings are examined through four knowledge levels: (1) content; (2) problem-solving; (3) epistemic; and (4) inquiry. Analysis of several examples shows that misunderstandings have causes at multiple levels, and…

An alternative to the standard theory that language learners always formulate the simplest rule to accommodate data is proposed. This new position states that the system of formulating rules and the generalizations made from it by children and adults in the stages of language learning needs to be more specific. The present theory excludes the use…