عباس تقی زاده

This study explores the metacognitive abilities of students with high working memory capacity in the context of solving mathematical problems. The measuring instruments include two researcher-developed tests, a structured interview, and the Working memory index from the Wechsler Intelligence Scale. The total 262 nine-year-old female students from Tehran were randomly selected to participate in the study. From this group, 31 highly proficient students with strong working memory were selected. Data analysis indicated that the students rarely engaged in conscious retrieval of prior knowledge during problem-solving. Approximately 61% of participants showed no evidence of strategic effort when encountering unfamiliar mathematical tasks. Moreover, 90% reported that they never asked themselves reflective questions. While students recognized practice as a helpful factor, their approach was largely imitative, often modeled after teachers or parents. These findings suggest a predominant reliance on automatic, habitual strategies rather than deliberate, goal-directed engagement with the problem-solving process. The findings highlights a significance gap between cognitive capacity and metacognitive strategy use in high-working-memory students. Despite their cognitive advantage, these students rarely employed reflective practices when solving problems, indicating that current instructional approaches may emphasize rote repetition over strategic thinking. This tendency appears particularly pronounced within teacher-centered educational contexts. To address this imbalance, curricula should incorporate explicit metacognitive training, including guided strategy-transfer exercises, problem classification activities, and structured reflection protocols. Such interventions may enhance students’ ability to engage in adaptive problem-solving and could contribute to improved outcomes in international mathematics assessments, particularly within educational systems like Iran’s.

The COVID-19 pandemic has necessitated a rapid shift to online learning, making the community of inquiry (COI) framework increasingly relevant for creating meaningful and effective online learning experiences. However, the impact of COI presences (i.e., teaching, social, and cognitive presence) on students' learning outcomes has been inconsistent in the literature, and a recent meta-analysis has identified a publication bias in this relationship suggesting the need for further investigation. This study aimed to enhance our understanding of how the COI presence influences college students' learning outcomes and whether it has a mediating role in the effect of self-efficacy and motivation on e-learner’s academic achievement. In this cross-sectional study, using a correlational research design, among all graduate students studying in online courses, a total of 269 graduate students were selected from online programs in seven public universities in Iran between April 2022 and June 2023, to be the sample of the study. The data were obtained from the answers to the community of inquiry (COI) scale, self- efficacy scale, academic motivation scale and students’ last semester grade point average. To examine the questions of the study, a path analysis was applied whose results showed that motivation and self-efficacy affected the community of inquiry positively (p<0.000). Also, the community of inquiry affected learning performance positively (p<0.000). The outcomes can provide significant theoretical and practical contributions to the key stakeholders to design a satisfying and successful online curriculum for the post-COVID-19 era and offer valuable insights into the design of productive online learning communities.

This study investigated the relationships among self-regulated learning, motivation for academic achievement and self-concept in prediction of academic achievement of male high school students studying through distance education system in Kashan Province, Iran. A cross-sectional, descriptive- correlational design  was conducted among all male high schools students in Kashan’s distance education centers during 2015-2016(n=718). Using a multistage cluster sampling, 270 students were selected. Data were collected using Herman’s achievement motivation questionnaire (1970), the Pintrich & De Groot self-regulated learning scale (1990) and Becks self-concept scale (1990). Stepwise regression analysis was employed in the SPSS version 20. The results showed that self-regulated learning, motivation for academic achievement and self-concept had significant positive relationships and predicted academic achievement statistically (p