非言语学习困难青少年空间和非空间关系推理策略分析

目的:探讨非言语学习困难青少年二维空间和非空间关系推理策略。方法:从初中二年级选取三组被试:非言语学习困难组(简称NLD)、言语学习困难组(简称VLD)和一般组(简称C)。结果:(1)NLD组空间关系推理成绩显著低于一般组;(2)在空间关系推理中,两类单模题推理成绩显著高于双模题。在非空间关系推理中,有无关前提的题推理成绩显著高于没有无关前提的题;(3)一般组正确运用模型建构策略显著高于NLD和VLD组。结论:NLD青少年通过建构模型解决空间关系推理,但不能有效运用该策略,非空间关系推理则采用逻辑规则策略。     

A study of the relationship between learning styles and cognitive abilities in engineering students

Learning preferences have been indirectly linked to student success in engineering programmes, without a significant body of research to connect learning preferences with cognitive abilities. A better understanding of the relationship between learning styles and cognitive abilities will allow educators to optimise the classroom experience for students. The goal of this study was to determine whether relationships exist between student learning styles, as determined by the Felder-Soloman Inventory of Learning Styles (FSILS), and their cognitive performance. Three tests were used to assess student's cognitive abilities: a matrix reasoning task, a Tower of London task, and a mental rotation task. Statistical t-tests and correlation coefficients were used to quantify the results. Results indicated that the global–sequential, active–referential, and visual–verbal FSILS learning styles scales are related to performance on cognitive tasks. Most of these relationships were found in response times, not accuracy. Differences in task performance between gender groups (male and female) were more notable than differences between learning styles groups.     

Effect of cooperative learning strategies on student verbal interactions and achievement during conceptual change instruction in 10th grade general science

This study evaluated the effects of cooperative learning on students' verbal interaction patterns and achievement in a conceptual change instructional model in secondary science. Current conceptual change instructional models recognize the importance of student–student verbal interactions, but lack specific strategies to encourage these interactions. Cooperative learning may provide the necessary strategies. Two sections of low-ability 10th-grade students were designated the experimental and control groups. Students in both sections received identical content instruction on the particle model of matter using conceptual change teaching strategies. Students worked in teacher-assigned small groups on in-class assignments. The experimental section used cooperative learning strategies involving instruction in collaborative skills and group evaluation of assignments. The control section received no collaborative skills training and students were evaluated individually on group work. Gains on achievement were assessed using pre- and posttreatment administrations of an investigator-designed short-answer essay test. The assessment strategies used in this study represent an attempt to measure conceptual change. Achievement was related to students' ability to correctly use appropriate scientific explanations of events and phenomena and to discard use of naive conceptions. Verbal interaction patterns of students working in groups were recorded on videotape and analyzed using an investigator-designed verbal interaction scheme. The targeted verbalizations used in the interaction scheme were derived from the social learning theories of Piaget and Vygotsky. It was found that students using cooperative learning strategies showed greater achievement gains as defined above and made greater use of specific verbal patterns believed to be related to increased learning. The results of the study demonstrated that cooperative learning strategies enhance conceptual change instruction. More research is needed to identify the specific variables mediating the effects of cooperative learning strategies on conceptual change learning. The methods employed in this study may provide some of the tools for this research.     

中国4省市阅读教学模式探究:基于PISA2018测评的潜在剖面分析

教师的课堂教学行为对学生学习有着重要作用。基于课堂教学的三维理论模型,采用中国4省市PISA2018测试数据,使用潜在剖面分析,探索中国4省市阅读教学的典型模式,并就不同模式对学生学习的影响开展研究。结果发现:1)学生感知到的教师教学模式主要有综合发展型、普通支持型和纪律导向型;2)感知到综合发展型教学模式的学生在学科知识与理解、动机、情感与注意力和学习时间维度上均表现最佳,纪律导向型教学模式的学生在各指标上表现较弱;3)不同家庭社会经济地位和不同学校类型的学生对不同教学模式的感知存在显著差异,家庭社会经济地位中等及以下的学生、城镇和农村学校的学生更容易感知到纪律导向型教学模式,更难感知到综合发展型教学模式,男女生对不同教学模式的感知不存在显著差异。在此基础上,提出要为教师采用综合发展型教学模式创造条件、教师要强化元认知教学并关注课堂教学的群体差异与区域差异等建议。     

Spatial Ability: A Neglected Talent in Educational and Occupational Settings

For over 60 years, longitudinal research on tens of thousands of high ability and intellectually precocious youth has consistently revealed the importance of spatial ability for hands-on creative accomplishments and the development of expertise in science, technology, engineering, and mathematical (STEM) disciplines. Yet, individual differences in spatial ability are seldom assessed for educational counseling and selection. Students especially talented in spatial visualization relative to their status on mathematical and verbal reasoning are particularly likely to be underserved by our educational institutions. Evidence for the importance of assessing spatial ability is reviewed and ways to utilize information about individual differences in this attribute in learning and work settings are offered. The literature reviewed stresses the importance of spatial ability in real-world settings and constitutes a rare instance in the social sciences where more research is not needed. What is needed is the incorporation of spatial ability into talent identification procedures and research on curriculum development and training, along with other cognitive abilities harboring differential—and incremental—validity for socially valued outcomes beyond IQ (or, g, general intelligence).     

Science Education and Students with Learning Disabilities

Students with learning disabilities (LD) are increasingly expected to master content in the general education curriculum, making the need for effective instructional supports more important than ever before. Science is a part of the curriculum that can be particularly challenging to students with LD because of the diverse demands it places on cognitive performance. In this summary we review a number of strategies that have been validated for learners with LD. The strategies include supports for (a) verbal learning of declarative information, (b) processing information in texts, (c) activities‐based instruction/experiential learning, (d) scientific thinking and reasoning, and (e) differentiated instruction. We also summarize the research regarding the impact of teacher behavior on achievement for students with LD in science education. The strategies reviewed yield tangible and positive effect sizes that suggest that their application to the target domain will substantially improve outcomes for students with LD in science education.     

Commentary: Towards an Integrated View of Learning from Text and Visual Displays

Visuo-spatial text adjuncts such as static or animated pictures, geographic maps, thematic maps, graphs, and knowledge maps that have been analyzed in the articles contained in this special issue provide complex pictorial information that complements the verbal information of texts. These spatial text adjuncts are considered as depictive representations that can support communication, thinking, and learning. An essential precondition of this supportive function is that the visuo-spatial displays interact appropriately with human visual perception and the individual's cognitive system, which is characterized by prior knowledge, cognitive abilities, and learning skills. Accordingly, effective learning with visuo-spatial text adjuncts can be fostered by instructional design and by adequate processing strategies, both dependent on sufficient understanding of how the human cognitive system interacts with these displays. Perspectives for further research in this area are provided.     

How students reason about matter flows and accumulations in complex biological phenomena: An emerging learning progression for mass balance

In recent years, there has been a strong push to transform STEM education at K-12 and collegiate levels to help students learn to think like scientists. One aspect of this transformation involves redesigning instruction and curricula around fundamental scientific ideas that serve as conceptual scaffolds students can use to build cohesive knowledge structures. In this study, we investigated how students use mass balance reasoning as a conceptual scaffold to gain a deeper understanding of how matter moves through biological systems. Our aim was to lay the groundwork for a mass balance learning progression in physiology. We drew on a general models framework from biology and a covariational reasoning framework from math education to interpret students' mass balance ideas. We used a constant comparative method to identify students' reasoning patterns from 73 interviews conducted with undergraduate biology students. We helped validate the reasoning patterns identified with >8000 written responses collected from students at multiple institutions. From our analyses, we identified two related progress variables that describe key elements of students' performances: the first describes how students identify and use matter flows in biology phenomena; the second characterizes how students use net rate-of-change to predict how matter accumulates in, or disperses from, a compartment. We also present a case study of how we used our emerging mass balance learning progression to inform instructional practices to support students' mass balance reasoning. Our progress variables describe one way students engage in three dimensional learning by showing how student performances associated with the practice of mathematical thinking reveal their understanding of the core concept of matter flows as governed by the crosscutting concept of matter conservation. Though our work is situated in physiology, it extends previous work in climate change education and is applicable to other scientific fields, such as physics, engineering, and geochemistry.     

Developing a Fine-Grained Learning Progression Framework for Carbon-Transforming Processes

Science educators have called for using the learning progression approach to align curriculum, instruction, and assessment. In line with this trend, we conducted both assessments and teaching experiments with students from grades 4 to 12 (717 students participated in the pre-assessments and 682 students participated in the post-assessments). The goal of the study is to develop a learning progression framework that provides effective guidance for curriculum and instruction on carbon-transforming processes in socio-ecological systems. We conducted the study in three research cycles. We developed a matter-and-energy learning progression framework during the first two cycles. This learning progression framework was used to guide the teaching intervention in the third research cycle. Clinical interviews and written assessments were implemented before and after the teaching intervention. In the process of data analysis, we found that the matter-and-energy learning progression framework did not provide a fine-grained depiction of students' reasoning. Therefore, we developed the five-practice learning progression framework, and used it to re-analyze data. Results indicate that the teaching intervention has helped students to achieve significant learning gains, but it was not effective enough in helping students achieve the upper anchor of the learning progression framework—constructing sophisticated scientific explanations. The results also indicate that students tended to rely on coherent and consistent reasoning to construct explanations. Based on the findings, we provide instructional suggestions and discuss the implications for climate change education and learning progression research.     

Engaging Black and Latinx students through communal learning opportunities: A relevance intervention for middle schoolers in STEM elective classrooms

With the aim of bridging research in educational psychology and teacher education, we designed a research-practice partnership to unpack the concept of relevance from a race-reimaged perspective. Specifically, we employed a mixed-methods sequential explanatory research design to examine associations between the communal learning opportunities afforded to Black and Latinx students, and their engagement patterns during STEM activities. Within a nine-week instructional unit we provided students six opportunities to rate their scholastic activities. High levels of behavioral engagement were sustained over the course of the instructional unit. On weeks when students rated the activities as higher in communal affordances, they also reported more behavioral engagement. Classroom observations facilitated our efforts to create state space grids that show when and how teachers used emancipatory pedagogies to support students’ learning. We used these state space grids, along with teacher interviews and student focus groups, to develop contextualized illustrations of two teachers of color as they successfully provided communal forms of motivational support over the span of six observations per teacher. These strategies differed based on three key factors: where the lesson was placed within the larger instructional unit, the way teachers interpreted and responded to their students’ engagement patterns, and how the demands of the larger school environment impacted classroom dynamics.     

Multidimensional ability tests and culturally and linguistically diverse students: Evidence of measurement invariance

Ability tests are used by teachers to provide additional context for interpreting student achievement and as a tool for differentiating instruction to the cognitive strengths and weaknesses of students. Tests that provide the most useful information for these purposes measure school-related content domains including verbal and quantitative reasoning. However, there is concern that verbal content affects validity for culturally and linguistically diverse students. In this study, the structure of a multidimensional ability test of verbal, quantitative, and nonverbal reasoning skills was explored in three groups of students who varied in language and cultural background. Configural invariance and invariant factor loadings were supported, but the verbal battery showed weaker relationships to the other batteries and reduced variability for English learners. Results indicate that battery-level scores are appropriate for all students, but that accounting for educational opportunity may be required for interpreting scores.     

A research strategy for the dynamic study of students' concepts and problem solving strategies using science software

Microcomputers and appropriate software have the potential to help students learn. They can also serve as appropriate media for investigating how students learn. In this article we describe a research strategy examining learning and behavior when students interacted with microcomputers and software. Results from two preliminary studies illustrate the strategy. A major feature of the strategy included recording students interacting with microcomputer software interfaced with a VCR. The VCR recorded the video output from a microcomputer and students' verbal commentary via microphone input. This technique allowed students' comments about their observations, perceptions, predictions, explanations, and decisions to be recorded simultaneously with their computer input and the display on the microcomputer monitor. The research strategy described can provide important information about cognitive and affective behaviors of students engaged in using instructional software. Research studies utilizing this strategy can enhance our understanding of how students develop and employ important concepts and scientific relationships, how students develop problem-solving skills and solve problems, and how they interact with instructional software. Results of such studies have important implications for teaching and for the design of instructional software.     

Facilitating problem solving in high school chemistry

The major purpose for conducting this study was to determine whether certain instructional strategies were superior to others in teaching high school chemistry students problem solving. The effectiveness of four instructional strategies for teaching problem solving to students of various proportional reasoning ability, verbal and visual preference, and mathematics anxiety were compared in this aptitude by treatment interaction study. The strategies used were the factor-label method, analogies, diagrams, and proportionality. Six hundred and nine high school students in eight schools were randomly assigned to one of four teaching strategies within each classroom. Students used programmed booklets to study the mole concept, the gas laws, stoichiometry, and molarity. Problem-solving ability was measured by a series of immediate posttests, delayed posttests and the ACS-NSTA Examination in High School Chemistry. Results showed that mathematics anxiety is negatively correlated with science achievement and that problem solving is dependent on students' proportional reasoning ability. The factor-label method was found to be the most desirable method and proportionality the least desirable method for teaching the mole concept. However, the proportionality method was best for teaching the gas laws. Several second-order interactions were found to be significant when mathematics anxiety was one of the aptitudes involved.     

Gender-related differences in reasoning skills and learning interests of junior high school students

The purpose of this study was to investigate gender-related differences in the relationship between the development of formal reasoning skills and learning interests during the early adolescent stage. For this purpose, 249 students, from seventh to ninth grade, were assessed for their level of mastery of formal reasoning skills by a test based on videotaped simple experiments. Learning interests were assessed by a written response to an open question. Results showed that adolescent boys develop patterns of formal reasoning before their girl classmates. In addition, boys tend to prefer science and technology subjects, while girls tend to prefer language, social studies, and humanities. Analysis of interactions showed that boys' tendency toward science and technology is positively correlated to their age and development of formal reasoning, while girls' tendency to the above subjects is positively related to their development of formal reasoning capacity, but inversely related to their age. Possible explanations to the above-described findings and suggestions for instructional modes that may increase girls' interest in science and technology are discussed.     

Learning analytics application to examine validity and generalizability of game-based assessment for spatial reasoning

Game-based assessment (GBA), a specific application of games for learning, has been recognized as an alternative form of assessment. While there is a substantive body of literature that supports the educational benefits of GBA, limited work investigates the validity and generalizability of such systems. In this paper, we describe applications of learning analytics methods to provide evidence for psychometric qualities of a digital GBA called Shadowspect, particularly to what extent Shadowspect is a robust assessment tool for middle school students' spatial reasoning skills. Our findings indicate that Shadowspect is a valid assessment for spatial reasoning skills, and it has comparable precision for both male and female students. In addition, students' enjoyment of the game is positively related to their overall competency as measured by the game regardless of the level of their existing spatial reasoning skills.

Practitioner notes

What is already known about this topic:

• Digital games can be a powerful context to support and assess student learning.
• Games as assessments need to meet certain psychometric qualities such as validity and generalizability.
• Learning analytics provide useful ways to establish assessment models for educational games, as well as to investigate their psychometric qualities.

What this paper adds:

• How a digital game can be coupled with learning analytics practices to assess spatial reasoning skills.
• How to evaluate psychometric qualities of game-based assessment using learning analytics techniques.
• Investigation of validity and generalizability of game-based assessment for spatial reasoning skills and the interplay of the game-based assessment with enjoyment.

Implications for practice and/or policy:

• Game-based assessments that incorporate learning analytics can be used as an alternative to pencil-and-paper tests to measure cognitive skills such as spatial reasoning.
• More training and assessment of spatial reasoning embedded in games can motivate students who might not be on the STEM tracks, thus broadening participation in STEM.
• Game-based learning and assessment researchers should consider possible factors that affect how certain populations of students enjoy educational games, so it does not further marginalize specific student populations.

     

Insights into Students’ Geometric Reasoning Relating to Prisms

Whilst spatial reasoning skills have been found to predict mathematical achievement, little is known about how primary (elementary) students’ conceptual understanding of three-dimensional objects develops. In this article, we report a qualitative study and the impact of rich learning experiences on 48 Years 3–6 students’ geometric reasoning relating to prisms. A one-to-one task-based interview, refined by the researchers, was used to assess student learning. Coding and data analysis were informed by our previous research. The findings reveal noticeable shifts in students’ knowledge of and reasoning about prisms, their ability to construct and describe prisms with geometric language, and their visualisation and spatial structuring skills. The implications of these findings highlight the importance of teachers’ choice of tasks that require students to compose and decompose three-dimensional (3D) objects; compare 3D objects through physical and mental transformations; take different perspectives; and visualise and reason geometrically.

     

Student-centred learning environments: an investigation into student teachers’ instructional preferences and approaches to learning

The use of student-centred learning environments in education has increased. This study investigated student teachers’ instructional preferences for these learning environments and how these preferences are related to their approaches to learning. Participants were professional Bachelor students in teacher education. Instructional preferences and approaches to learning were measured by means of questionnaires. Results showed that most students preferred teacher direction, cooperative learning and knowledge construction, and adopted a deep approach. Moreover, significant correlations were found between approaches to learning and instructional preferences. Students adopting a deep approach preferred knowledge construction and cooperative learning, while students adopting a surface approach had a preference for teacher direction and passive learning.