The study identifies the challenge of reducing learning

The gap

Evidence profile

Sourced from the recommendations and limitations and future work of the source papers, classified as general, spanning 8 journals. Those papers have been cited 1 times in total.

Supporting evidence — 8 representative gaps

• Unveiling the Numeracy Link: Mathematics Instructors' Instructional Numeracy Practices and Student Learning Outcomes (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  Mathematics instructors should enhance instructional numeracy through continuous professional development Continuous professional development (CPD) programs help instructors strengthen their mathematical content knowledge, pedagogical strategies, and instructional clarity. Regular training ensures that teachers remain updated with effective numeracy teaching approaches and modern instructional practices, leading to improved classroom delivery and student understanding. Instructional strategies should integrate real-life mathematical applications Embedding real-world contexts in mathematics instruction allows students to connect abstract concepts to practical situations. This approach enhances relevance, engagement, and comprehension, making mathematical concepts easier to understand and apply beyond the classroom. Institution should provide training programs focused on pedagogical numeracy Educational institutions play a vital role in supporting teacher development by offering structured training programs that focus on pedagogical numeracy. These programs equip instructors with strategies for simplifying complex concepts, improving instructional clarity, and addressing student learning difficulties effectively. Future research may explore additional factors affecting student learning outcomes such as motivation and learning environment Further studies are encouraged to examine other influential variables such as student motivation, learning environment, cognitive abilities, and study habits. Exploring these factors will provide a more comprehensive understanding of what affects mathematics achievement in higher education. By aligning instructional strategies with students’ cognitive needs and learning preferences, educators can effectively address challenges in understanding mathematical concepts such as symbols and quantifiers. These interventions not only improve students’ conceptual understanding but also foster critical thinking, problem-solving skills, and overall mathematical proficiency, contributing to improved academic performance and long-term learning success.

  generalrecommendationsevidence 5/5
  Keywords: instructional learning mathematical numeracy programs strategies student understanding concepts mathematics instructors development pedagogical training students
• Integrating STEM and Mathematical Modeling in Middle School: An Investigation of Students’ Motivation, Attitudes, and Modeling Competence (2026) · Yaşadıkça Eğitim · doi

  In this study, the limited duration of the intervention constrained the observation of long-term effects, 144 Integrating STEM and Mathematical Modeling… particularly for affective variables such as attitudes. Additionally, the research involved only eighth-grade students from a specific region, limiting the generalizability of the findings across different age groups and educational contexts. Future research could investigate the long-term retention effects of modeling-based STEM instruction through extended interventions spanning multiple grade levels. The impact of MM interventions explicitly structured using the 5E instructional model could also be experimentally examined to evaluate how guided inquiry stages contribute to the development of motivation and self-efficacy. Quantitative analyses grounded in EVT (e.g., mediation models) may help clarify the indirect effects of students’ expectancy beliefs and value perceptions on motivation. Finally, exploring factors such as teacher competencies, classroom interaction patterns, and the integration of technological tools could provide valuable insights into how these elements influence students’ engagement and achievement in modeling-based STEM learning.

  generallimitationsevidence 5/5
  Keywords: effects stem modeling students long term grade based interventions motivation limited duration intervention constrained observation
• Effect of student engagement on Mathematics performance: The moderating role of Math anxiety (2026) · International Journal of Education, Learning, and Pedagogical Sciences (INJELPS) · doi

  Based on the findings of the study, mathematics teachers may adopt instructional practices that strengthen cognitive, affective, and behavioral engagement through inquiry-based learning, collaborative problem solving, technology-enhanced instruction, and meaningful real-world applications of mathematics. Learning environments may also be designed to encourage active participation, reflective thinking, and positive attitudes toward mathematics. Schools and educational leaders may develop intervention programs that support students experiencing mathematics anxiety through counseling services, learner support initiatives, low-stakes assessments, and classroom practices that promote psychological safety and confidence in learning. Curriculum developers may consider integrating activities that foster higher-order thinking skills, mathematical reasoning, student autonomy, and emotional engagement within mathematics learning competencies and instructional materials. Teacher education institutions and professional development providers may incorporate training on student engagement, mathematics anxiety management, social-emotional learning, and learner-centered instructional approaches to better prepare teachers for diverse classroom needs. Future researchers may conduct longitudinal, mixed-method, or intervention-based studies to further examine the relationships among engagement, anxiety, and achievement across different educational contexts and learner populations. REFERENCES Andrews, A., & Brown, J. (2015). The effects of math anxiety. Education, 135(3), 362–370. https://eric.ed.gov/?id=EJ1095418 Anindyarini, R., & Supahar. (2019). Portrait of mathematical anxiety in early youth ages. International Journal of Trends in Mathematics Education Research, 2(3), 128–132. https://doi.org/10.33122/ijtmer.v2i3.77 Appleton, J. J., Christenson, S. L., Kim, D., & Reschly, A. L. (2006). Measuring cognitive and psychological engagement: Validation of the Student Engagement Instrument. Journal of School Psychology, 44(5), 427–445. https://doi.org/10.1016/j.jsp.2006.04.002 Ariyanti, G., & Santoso, F. G. I. (2020). The effects of online mathematics learning in the COVID-19 pandemic period: A case study of senior high school students at Madiun City, Indonesia. Mathematics Teaching Research Journal, 12(3), 4–11. https://files.eric.ed.gov/fulltext/EJ1384861.pdf?utm_source=chatgpt.com Arslan, Ç. (2020). Examining the relationship between 5-8th grade students' test anxiety and mathematics anxiety. Acta Didactica Napocensia, 13(1), 127–137. https://doi.org/10.24193/adn.13.1.12 Awofala, A. O. A., & Falolu, O. S. (2017). Motivation to learn mathematics as correlates of pre-service teachers' performance in mathematics. ABACUS: The Journal of the Mathematical Association of Nigeria, 42(1), 370–390.

  generalrecommendationsevidence 5/5
  Keywords: mathematics anxiety engagement learning https journal based teachers instructional students learner mathematical student education practices
• EFFECTIVENESS OF MIXED-MODE ASSESSMENT IN ENHANCING STUDENTS' PERFORMANCE IN MATHEMATICS 9 (2026) · International Journal of Research Publications · doi

  `The recommendations for improvement of math learning and assessment practices (and future educational research) are drawn from the results and conclusions derived from this study. www.ijrp.org BRYAN B. MATIENZO / International Journal of Research Publications (IJRP.ORG) 2340 1. The math teachers are advised to adopt the mixed-mode assessments in order to increase the academic performance and mastery of concepts. 2. The teachers could use both the conventional and authentic assessments in order to have an overall evaluation of the learning process. 3. The schools could offer training and workshops for the teachers on how to design and implement the mixed-mode assessments. 4. The intervention programs could be developed for those students who will continue performing poorly in order to help them get to a higher level of mastery. 5. The curriculum developers may think of implementing the mixed-mode assessments in their framework to promote the achievement. 6. Future researchers are encouraged to conduct similar studies using larger sample sizes, longer intervention periods, and different mathematical topics to validate and extend the findings of this study. 7. Future studies may also address the limitations of this research by incorporating random sampling techniques, longitudinal designs, and additional variables such as student motivation and learning styles to obtain more comprehensive results.

  generalrecommendationsevidence 5/5
  Keywords: assessments learning future teachers mixed mode order math ijrp mastery intervention recommendations improvement assessment practices
• Transforming mathematics education through gamification: A study on motivation and learning among UAE sixth graders (2026) · Contemporary Educational Technology · cited 1× · doi

  The findings advocate for educators to consider gamification in instructional strategies for improved mathematics learning outcomes and a motivating learning environment. The study suggests the need for further research to explore the long-term benefits of gamification in education. Based on the study’s findings, researchers recommend the following: 1. Encouraging educators and policymakers to incorporate gamification into mathematics instruction. This proactive approach can potentially enhance student motivation and overall learning experiences. 2. Diversification of learning resources through gamification. Integrating gamification into online activities accommodates diverse learning styles, fostering motivation and positively influencing students’ performance. 3. Prioritizing future research efforts in conducting longitudinal investigations into the sustained effects of gamification on student performance in mathematics and ongoing motivation. This extended inquiry will offer valuable insights into the long-term impacts on mathematics education. 4. Mixed methods data collection techniques including qualitative tools such as focus group interviews, and classroom observations should be incorporated in future research to get deeper understanding of learner behavior, engagement, and contextual dynamics in gamified classroom environments. 5. Future research should examine the cost-effectiveness, realistic scalability, and implementation difficulties of gamification in actual classroom settings. 6. Longitudinal Studies in future should be considered to monitor motivational and attainment outcomes over lengthy periods of time to gain a better understanding of the long-term effects of gamification on learning. Hanus and Fox (2015) argue that gamification in education may not be adequate on its own to attain the intended educational objectives. This contention is substantiated by their finding that there is a need to conduct a more thorough examination of the effectiveness of specific game elements and their practical integration. Similarly, Sailer et al. (2017) reinforced this perspective through their empirical study in 2017, underlining the necessity for a comprehensive exploration of the practical application of various game elements. In essence, both studies recommend further research be conducted to unveil effective strategies for implementing various game elements to enhance students’ engagement, motivation, and overall academic performance.

  generalrecommendationsevidence 5/5
  Keywords: gamification learning mathematics motivation future long term education performance classroom game elements educators strategies outcomes
• Enhancing Grade 6 Learners’ Performance in Mathematical Fractions through Differentiated Instruction (2026) · Advanced Social Science in Research Journal · doi

  To continue supporting the differentiated instruction teaching approach in Mathematics especially in mathematical fractions and other difficult competencies, it is advised that Math- ematics teachers keep on incorporating differ- entiated instruction as part of their teaching method. Teachers can employ techniques such as flexible grouping, creating scaffolded learn- ing tasks, using manipulatives and visual mod- els, offering guided practice sessions, conduct- ing problem-solving activities that are contex- tualized, and preparing technology-supported lessons that match the diverse readiness levels, learning needs, and pace of understanding of the learners. Besides giving support to teachers, school administrators can play a role by ensuring that there are enough instructional materials, that teachers have access to learning technologies, and by creating teacher collaboration opportu- nities for lesson planning. They can also advo- cate the diagnosing of students' learning needs through assessments and continuous monitor- ing and encourage remediation and enrich- ment activities. The suggested intervention scheme, Pro- ject DIFF-MATH FRACTIONS, can be taken up and developed as a school-based Mathematics intervention program. It may act as an organ- ised reference for detecting learner deficien- cies, sorting learners into groups based on instruction, readiness, offering scaffolded tracking learner progress, and maintaining fractional concepts and operational skills. The program can also be a part of school enhance- ment projects, Mathematics remedial plans, and learner assistance programs.

  generalrecommendationsevidence 5/5
  Keywords: teachers instruction mathematics learning school learner teaching fractions math part creating scaffolded offering activities readiness
• A Math Phobia Mitigation Model to Enhance High School Students’ Motivation, Interest, and Mathematics Learning Outcomes (2026) · Journal of Education and Teaching Learning · doi

  multidimensional construct involving emotional, cognitive, and behavioral components. that mathematics describe math phobia that Emotionally, students’ anxiety creates a negative learning atmosphere that reduces their willingness to participate in classroom activities. Cognitively, anxiety interferes with working memory capacity, limiting students’ ability to process information and apply problem-solving this manifests in strategies effectively. Behaviorally, avoidance tendencies, where students are reluctant to engage with mathematical tasks, thereby reducing practice opportunities and reinforcing low achievement. in motivation, The implementation of the math phobia mitigation model shows that these barriers can be significantly reduced through a structured and supportive learning approach. The increase interest, and self-confidence indicates that students respond positively when they are placed in a safe learning environment that emphasizes encouragement, gradual exposure to tasks, and active engagement. This supports the view that affective factors play a crucial role in shaping students’ attitudes toward mathematics learning. Furthermore, the improvement in learning outcomes suggests a strong interconnection between psychological readiness and academic performance. When anxiety levels decrease, students are better able to focus, think critically, and persist in solving problems. This leads to more effective learning processes and higher achievement levels. The substantial increase in mastery learning also indicates that the model not only benefits high-achieving students but also supports those who previously struggled with mathematics. Overall, the results confirm that addressing math phobia in mathematics education. A learning is essential environment integrates emotional support with that instructional strategies can enhance students’ cognitive performance while simultaneously improving their affective development. Therefore, the math phobia mitigation model can be considered an effective approach to improving both learning quality and student outcomes in mathematics education.

  generalfuture workevidence 5/5
  Keywords: students learning mathematics math phobia model anxiety mitigation emotional cognitive solving strategies tasks achievement motivation
• The Development of a Questionnaire for Assessing Students' Learning Motivation toward Mathematics (QSLMM) (2026) · International Journal of Educational Studies in Mathematics · doi

  The main purpose of this study was to compile a questionnaire for students' learning motivation towards mathematics (QSLMM) for teachers to use in teaching. The following are the conclusions and suggestions based on the research findings: 5.1 Conclusions In order to help teachers use the questionnaire to quickly understand students’ motivation for learning mathematics, the researchers reviewed the literature that affects mathematics learning motivation and summarised the factors of mathematics learning motivation in this study. The factors of mathematics learning motivation in this study include learning environment, self-efficacy, self-regulation, intrinsic value, and test anxiety. There were 86 questions in the revised initial questionnaire. After the pilot survey and examination of reliability and validity, the number of questions/items for “learning environment” was reduced from the original 13 to 7; for ”test anxiety”, 13 to 6; for “intrinsic value”, 19 to 4; for “self-efficacy”, 17 to 7; for “self-regulation”, 18 to 4; and reversed questions from 6 to 2; in total of five factors with 30 questions in the final questionnaire. In the internal consistency reliability test of the total scale and each subscale, the Cronbach’s α coefficient of the total scale was.977, and the Cronbach’s α coefficients of each subscale were.938,.913,.850,.899, and.810, respectively. In the results of confirmatory factor analysis, the standardised factor loading was between.55 and.87. Additionally, the value of the RMR was.035, the value of the RMSEA was.055, the value of the GFI was.917, the value of the AGFI was.901, the value of the CFI was.936, the value of the NFI was.928, the value of the NNFI was.929 and the value of the IFI was.936, which were all up to ideal standards. In cross-validation analysis, the result of measurement invariance was not significant in Δχ2 of residual analysis, and both △CFI and △TLI were less than the standard of.05, which showed that QSLMM was reliability and validity. Based on the above research results, the QSLMM could effectively investigate the senior and junior high school students’ mathematics learning motivation. 5.2 Future research suggestions Based on the data and analysis obtained from this study, the following two suggestions are proposed for future researchers' reference: 117 Erh-tsung Chin & Ruei Chang Lo 5.2.1.

  generalfuture workevidence 5/5
  Keywords: value learning motivation mathematics questionnaire students self questions qslmm suggestions based factors test reliability total

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