The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI…

This study compared the problem-solving abilities of ChatGPT and 58 pre-service teachers (PSTs) in solving a mathematical word problem using various strategies. PSTs were asked to solve a problem individually. Data was collected from PSTs' submitted assignments, and their problem-solving strategies were analyzed. ChatGPT was also given the same…

Research on pre-task planning to date has mainly focused on task performance. However, the effects of planning are contingent on what learners actually do during planning time. One important factor that may determine the quality and usefulness of planning is whether it is done in the first language (L1) or the second language (L2). This research…

The main purpose of this study was to test the effects of word-problem (WP) intervention, with versus without embedded language comprehension (LC) instruction, on at-risk 1st graders' WP performance. We also isolated the need for a structured approach to WP intervention and tested the efficacy of schema-based instruction at 1st grade. Children (n…

This study investigates representational code-switching (RCS) by considering three high school students' communications in the process of comparing and contrasting pairs of representations (e.g., equation and graph) in the context of rational functions. Supporting this study is research in the realms of students interacting with mathematical…

We compared the processing of natural language quantifiers in a group of patients with schizophrenia and a healthy control group. In both groups, the difficulty of the quantifiers was consistent with computational predictions, and patients with schizophrenia took more time to solve the problems. However, they were significantly less accurate only…

The current studies investigated the efficient use of dialogue in intelligent tutoring systems that use natural language interaction. Such dialogues can be relatively time-consuming. This work addresses the question of how much dialogue is needed to produce significant learning gains. In Experiment 1, a full dialogue condition and a read-only…

We have developed a process model that learns in multiple ways while finding faults in a simple control panel device. The model predicts human participants' learning through its own learning. The model's performance was systematically compared to human learning data, including the time course and specific sequence of learned behaviors. These…

Investigated in preschoolers whether the bilingual advantage in cognitive control or selective attention could be found in a nonverbal task, the dimensional change card sort, requiring minimal demands for analysis or representation. Found that bilingual children were more advanced than monolinguals in solving problems requiring high levels of…

Examination of a second grade additive-bilingual (Spanish-immersion) classroom, compared to a monolingual classroom for nonverbal problem-solving and native-language development, found significant differences in problem solving in favor of the bilingual class and no significant differences in native-language development. (46 references) (Author/CB)

Twenty children, aged six-eight, with normal nonverbal intelligence but language comprehension deficits, were administered tasks of verbal and perceptual proportional analogical reasoning and a problem-solving task of functional analogical reasoning. Compared to controls, subjects were deficient in analogical reasoning. However, when the…

This report summarizes research on experienced programmers' comprehension of computer programs that was carried out over a three-year contract period (1982-85). Following an extensive review of the programming skill literature, an analysis of programs based on the multiple abstractions (points-of-view) that characterize program text and design was…

This study claimed that the ability of bilingual children to solve metalinguistic problems depends upon the demands of a given problem for analysis of knowledge or control of processing. It examined two hypotheses concerning bilingualism and metalinguistic problem-solving: (1) that bilingual children would be more advanced than monolingual…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…