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Eleonora Doz, Mara Cotič, and Maria Chiara Passolunghi


                  ical concepts to real-world situations (Depaepe, De Corte, and Verschaffel
                  2010; Pongsakdi et al. 2020), deepening the understanding of mathematical
                  knowledge, fostering creative thinking and flexible problem-solving skills,
                  and serving as a motivational tool to spark interest in mathematics (Verschaf-
                  fel et al. 2020).
                    However, despite their educational value, word problems pose consid-
                  erable challenges for many students worldwide (Cotič and Valenčič Zuljan
                  2009; Fuchs et al. 2020). For instance, OECD (2013) reported that one third
                  of students in all participating countries were not able to solve simple word
                  problems involving whole numbers. These findings underscore the need to
                  investigate the factors influencing students’ proficiency in word problem-
                  solving, in order to develop more effective instructional strategies. In the
                  present contribution, we aim to give a comprehensive overview of the fac-
                  tors that influence students’ word problem-solving performance and discuss
                  some implications for educational practice.

                  Difficulties in Word Problems: A Comprehensive Theoretical Model
                  Numerous empirical studies have sought to elucidate the challenges en-
                  countered by individuals, both children and adults, in word problem-solving
                  (e.g. Hegarty, Mayer, and Monk 1995; Jaffe and Bolger 2023; Pongsakdi et al.
                  2020). A theoretical model that attempts to comprehensively explain the dif-
                  ficulties in word problem-solving is the model proposed by Daroczy et al.
                  (2015), illustrated in figure 1. The model identifies three main aspects that
                  contribute to word problem-solving difficulties: task characteristics (linguis-
                  tic and numerical features of the problem and their interaction that de-
                  termine the problem’s complexity), individual differences (domain-specific
                  and domain-general cognitive abilities), and environmental factors (the
                  teaching-learning environment).
                    Central to this model is the assertion that task characteristics and individ-
                  ual differences influence students’ performance both directly and indirectly
                  over two mediator variables: cognitive load and problem-solving strategies.
                  Task characteristics influence cognitive load; as the complexity of problems
                  increases, cognitive load also rises. Moreover, cognitive load is also subject to
                  individual differences, where individuals with higher cognitive abilities may
                  exhibit lower cognitive load compared to those with poorer abilities. The sec-
                  ond mediator refers to the application of specific problem-solving strategies,
                  which is influenced by both the features of the problem, and students’ abil-
                  ities and knowledge. Finally, environmental factors impact individual cogni-
                  tive abilities, solution strategies, and word problem performance. In the fol-


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