Abstract:Assessing problem-solving remains a challenge for both teachers and researchers. With the aim of contributing to the understanding of this complex process, this paper presents an exploratory study of peer assessment in mathematical problem-solving activities. The research was conducted with a group of future Secondary mathematics teachers who first were asked to individually solve an open-ended problem and then, to assess a classmate’s answer in pairs. We present a study of two cases involving two pairs of stu… Show more
“…The peer assessments assigned at random to the assessors are shown in Table 2. We applied three categories of analysis to systematize this study: general process, representations used, and solutions found (de- Armas-González et al, 2023). To address the research questions with in-depth discussions, we collected data using various methods, such as a survey, an interview, phone calls, and informal discussions.…”
This action research study explored how peer assessment can help students and teachers evaluate algorithm problem-solving skills in mathematics. The study used a self- and peer-assessment activity in Moodle to assess 18 out of 40 Grade X students (10 boys and eight girls) from a Kathmandu Valley, Nepal school. The students solved algorithm problems in arithmetic, algebra, statistics, and geometry. The study followed the action research methodology of planning, implementing, assessing, and discussing the interventions and outcomes. The results show that workshop activity can engage students in solving algorithm problems in mathematics. The study also discusses how cognitive and constructivist theories can explain some of this activity's unique aspects and potential uses. Moreover, the study highlights the benefits and challenges of self- and peer-assessment in mathematics for enhancing students' interest and abilities in the classroom. The study suggests students can develop analytical and evaluative skills using evaluation criteria to assess their peers' work. The study also implies that students are proactive, critical, and collaborative learners who can use self-and peer assessment to improve their mathematical abilities to solve algorithm problems in the classroom.
“…The peer assessments assigned at random to the assessors are shown in Table 2. We applied three categories of analysis to systematize this study: general process, representations used, and solutions found (de- Armas-González et al, 2023). To address the research questions with in-depth discussions, we collected data using various methods, such as a survey, an interview, phone calls, and informal discussions.…”
This action research study explored how peer assessment can help students and teachers evaluate algorithm problem-solving skills in mathematics. The study used a self- and peer-assessment activity in Moodle to assess 18 out of 40 Grade X students (10 boys and eight girls) from a Kathmandu Valley, Nepal school. The students solved algorithm problems in arithmetic, algebra, statistics, and geometry. The study followed the action research methodology of planning, implementing, assessing, and discussing the interventions and outcomes. The results show that workshop activity can engage students in solving algorithm problems in mathematics. The study also discusses how cognitive and constructivist theories can explain some of this activity's unique aspects and potential uses. Moreover, the study highlights the benefits and challenges of self- and peer-assessment in mathematics for enhancing students' interest and abilities in the classroom. The study suggests students can develop analytical and evaluative skills using evaluation criteria to assess their peers' work. The study also implies that students are proactive, critical, and collaborative learners who can use self-and peer assessment to improve their mathematical abilities to solve algorithm problems in the classroom.
“…Other findings admit that academic programs at this type of university are designed to break down traditional disciplinary boundaries, encouraging students to engage in problem-solving activities (de- Armas-González et al, 2023). The special attention must be paid towards learning through practical, real-world experience to form professional competence as well as readiness to innovation, creativity, and problem-solving (Kong, 2021).).…”
Section: Literature Reviewmentioning
confidence: 99%
“…At the same time, the recent findings demonstrate that the university of future must possess certain characteristics. These characteristics refer to hybrid model of learning (Gadhoum, 2022), sustainability and inclusivity (Moral & Villarente 2024), interdisciplinary curriculum (de- Armas-González et al, 2023), and practice-based learning (Kong, 2021).…”
The concept of university refers to a forward-thinking, innovative educational institution that implements the latest advancements in technology and pedagogy. The purpose of the research is to explain technologies and innovations used at the future-oriented university and to outline their impact. The research objectives are the following: to describe the concept of university of future; to explain what technologies and innovations are integrated into the educational process; and to describe the peculiarities of their using. Studying involved mixed methodology, particularly surveys and questionnaires; in-depth interviews; observational studies; content analysis; and ethnographic and pedagogical method. Descriptive statistics, multivariate analysis, thematic analysis and narrative analysis were used for data analysis. The study was carried out among faculty members and university administrators in February-April, 2024. The findings showed that the participants of the educational process understand the university of future as an institution focusing on the formation of professional competences among students through the use of innovative techniques. Also, it is referred as an innovation center, research and development institution, digital university or student-centered university. The university of future is characterized by technology-enhanced learning, research and innovation, practical learning, interdisciplinary approach, personalized learning, student-centered pedagogy, and life-long learning opportunities. The university of future applies a number of technological advancements that enhance the efficiency of the educational process. They include artificial intelligence, virtual reality, Learning Management Systems, and cloud computing. The pedagogical innovations are related to blended learning, flipped classroom, personalized learning, project-based learning, game-based activities, and collaborative learning. The implementation of technological advancements and pedagogical innovations requires using organizational and pedagogical measures.
“…Table 3 demonstrates the most essential future evaluation methods according to teachers. Teachers must co-design assessment and evaluation systems through collective bargaining [46,50]. Learning data should not be the only or primary source of teacher performance data.…”
The COVID-19 pandemic wreaked havoc on education and resulted in huge changes. This research paper investigates on the factors driving change for future learning by studying the training of teachers during the COVID-19 crisis and their perceptions regarding the future of teaching. The study employed the methodology of opportunistic or emergent sampling to collect data from teachers aged 30–50 years who had experience in conducting online classes in different schools in KSA. The study suggests that effective virtual education depends on careful instructional design, audience consideration, and a systematic implementation model that produces various forms of teaching tailored to educational objectives. The research findings can guide future decisions about implementing online teaching, and the dimensions identified in this research can be compared with previous studies to derive key learning axes for future schools. The pandemic transition presents an opportunity to develop sustainable paradigms for future generations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.