Enhancing Performance in Mathematics Through Motivation, Peer Assisted Learning, And Teaching Quality: The Mediating Role of Student Interest — TEI-tagged view

Arthur, Dogbe, Asiedu-Addo · 2022 · education · doi:10.29333/ejmste/11509 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (pdftext); every evidence string verified as an exact substring of that text before merging. Replication status set to 'contested' because the paper itself states its peer-assisted-learning null finding runs against prior studies while its motivation and teaching-quality findings agree with them. The 'contradicts' relation is the weakest of the four records: the sentence quoted states the contradiction explicitly but names the opposing studies only in the following sentences, so the target is reconstructed from adjacent named citations rather than from the quoted sentence itself. Note also that 'performance in mathematics' here is a self-report Likert construct (items such as 'Learning mathematics enhances my thinking ability'), not an achievement score - the facets cannot capture that the outcome variable is not measured attainment. The PDF extraction interleaves two-column text in places (words such as 'firstorder' are joined); quotes are copied with those artefacts intact. 2026-08-14, 2026-08-15 and 2026-08-25 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
Other fields define these differently the same word, defined another way in another discipline
intrinsic motivation 3 fields · bootstrap 2 fields · confidence interval 2 fields · extrinsic motivation 2 fields · discriminant validity 2 fields
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
teaching quality confirmatory factor analysis6 performance in mathematics mathematics learning interest peer assisted learning mathematics learning motivation observational-study83

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonself-reported mathematics performance in undergraduates— “This study therefore explored the role of motivation, peer assisted learning, quality of teaching and student interest on student performance in mathematics.”
claim-typemechanism— “It was concluded that students learning interest in mathematics partially mediated the relationships between mathematics learning motivation and performance in mathematics; as well as between mathematics teaching quality and performance in mathematics.”
method — evidence— “The study design was a survey, with structured questionnaire being used for data collection.”
mechanismPeer assisted learning does not reach performance directly; it first raises students' interest in mathematics, and that interest is what raises performance— “Peer assisted learning influenced students’ mathematics learning interest, whiles interest further influenced performance in mathematics.”mechanisms[0]
mechanismInterest is a necessary link in the chain: peer learning that fails to build interest produces no performance gain at all— “That is, peer assisted learning which does not result in building students’ mathematics learning interest, will have no effect on performance in mathematics of students.”mechanisms[1]
contradicts prior peer-tutoring findings that peer assisted learning directly determines mathematics performance (Thurston et al., 2020; Rockinson-Szapkiw & Wendt, 2020; Alegre et al., 2019)— “This relationship is contrary to past findings.”claim_relations[0]
senseteaching quality - AS ANALYSED HERE: a single higher-order variable, with its first-order dimensions deliberately not examined— “This study however focused on the higher-order variables (teaching quality and learning interest), without specific attention on the firstorder variables.”senses[0]
senseperformance in mathematics - as a latent variable measured by questionnaire items, whose number is decided after the fact by the factor loadings— “Originally, performance in mathematics had four measurement items (observed variables), students’ mathematics interest had seven measurement items”senses[1]
sensemediation - used here in two senses that the paper distinguishes by result: PARTIAL, where the direct path survives (motivation, teaching quality), and FULL, where it does not (peer assisted learning)— “This present study in line with this, found that mathematics learning interest fully mediated the relationship between peer assisted learning and performance in mathematics”senses[2]
controlthe Fornell and Larcker thresholds applied - average variance extracted at least 0.5 and composite reliability at least 0.7 - before the constructs are used — held — rules out constructs that do not measure a single thing, or measure it unreliably, being carried into the structural model as if they did— “Based on the Fornell and Larcker (1981) criteria, the least of AVE must be 0.5, while that of composite reliability (CR) must also be 0.7, to conclude that convergent validity was achieved among the observed variables.”controls[0]
auditpeer assisted learning —causes→ mathematics learning interest — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but interest 'fully mediated' the relation of peer assisted learning to performance; causes on the first leg is loose.— “This present study in line with this, found that mathematics learning interest fully mediated the relationship between peer assisted learning and performance in mathematics”concept_edges[0]
notepeer assisted learning —causes→ mathematics learning interest — FULL MEDIATION, which is a claim that a DIRECT path is absent: peer assisted learning reaches performance only through interest. The paper's contribution is the removal of an edge other studies drew, not the addition of one.— “This present study in line with this, found that mathematics learning interest fully mediated the relationship between peer assisted learning and performance in mathematics”concept_edges[0]
weightpeer assisted learning —causes→ mathematics learning interest — 0.9— “This present study in line with this, found that mathematics learning interest fully mediated the relationship between peer assisted learning and performance in mathematics”concept_edges[0]
differs inmathematics learning motivation —causes→ performance in mathematics — PARTIAL AGAINST FULL MEDIATION - motivation keeps a direct path to performance alongside the one through interest, where peer assisted learning keeps none. Same mediator, same outcome, and the difference is whether the direct effect survives— “Findings also revealed that the effect of mathematics learning motivation on performance in mathematics is not only direct, but partially mediated by mathematics learning interest”concept_edges[1]
weightmathematics learning motivation —causes→ performance in mathematics — 0.8— “Findings also revealed that the effect of mathematics learning motivation on performance in mathematics is not only direct, but partially mediated by mathematics learning interest”concept_edges[1]
weightmathematics learning interest —causes→ performance in mathematics — 0.8— “Findings also revealed that the effect of mathematics learning motivation on performance in mathematics is not only direct, but partially mediated by mathematics learning interest”concept_edges[2]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — the level at which the finding holds: THIS STUDY HOWEVER FOCUSED ON THE HIGHER-ORDER VARIABLES (TEACHING QUALITY AND LEARNING INTEREST), WITHOUT SPECIFIC ATTENTION ON THE FIRST-ORDER VARIABLES— “This study however focused on the higher-order variables (teaching quality and learning interest), without specific attention on the firstorder variables.”limitations[0]
for which uselimitation — the treatment of the first-order variables: FOCUSING SPECIFIC ATTENTION ON THE FIRST-ORDER VARIABLES MAY HAVE PROVIDED [a] DIFFERENT PERSPECTIVE TO THE RESULTS ATTAINED— “Focusing specific attention on the firstorder variables may have provided different perspective to the results attained, and this could therefore be the focus of future studies.”limitations[1]
for which uselimitation — the constructs in this model as the ones the instrument was designed to measure: items loading below 0.5 were deleted during the confirmatory factor analysis— “As part of the CFA procedure, observed variables with poor factor loading (less than 0.5), were deleted from further analysis.”limitations[2]
for which uselimitation — conclusions about teaching quality or learning interest as such: only the higher-order variables were analysed, and the authors state the first-order dimensions might have given a different perspective— “This study however focused on the higher-order variables (teaching quality and learning interest), without specific attention on the firstorder variables. Focusing specific attention on the firstorder variables may have provided different perspective”limitations[3]
for which uselimitation — generalising these results beyond the studied group: the 373 first-year undergraduates were selected by purposive and convenience sampling on one campus— “Purposive and convenient sampling techniques were used in selecting 373 first year undergraduate students of Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED), who studied on Kumasi campus.”limitations[4]
replicationcontested
limitationThe study analysed only the higher-order constructs of teaching quality and learning interest, not their first-order sub-dimensions, which might have yielded different results.— “This study however focused on the higher-order variables (teaching quality and learning interest), without specific attention on the firstorder variables.”limitations[0]
limitationAttending to the first-order variables is left to future research.— “Focusing specific attention on the firstorder variables may have provided different perspective to the results attained, and this could therefore be the focus of future studies.”limitations[1]
limitationMeasurement items were deleted by a stipulated loading threshold, so the constructs analysed are not the constructs as originally specified.limitations[2]
limitationOnly the higher-order variables were analysed; the authors state the first-order dimensions were not examined and might have given a different picture.limitations[3]
limitationThe sample is non-random and drawn from a single campus, while the framing concerns mathematics performance across the region.limitations[4]
limitationTHREE OF THE FIVE CONSTRUCTS FALL BELOW THE CONVENTIONAL 0.7 RELIABILITY THRESHOLD and the paper reports the figures without comment: motivation 0.655, mathematics learning 0.597, interest 0.667, against teaching quality 0.701 and performance 0.704. The two mediation results the paper turns on rest on the interest scale at 0.667.
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limitations[5]
limitationSeven measurement items were deleted after the fact for loading below 0.5 - two each from motivation and peer assisted learning, three from teaching quality - so the constructs analysed are not the constructs the instrument was designed to measure, and the deletion is reported per construct rather than justified.
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limitations[6]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingMathematics learning motivation had a direct positive effect on performance in mathematics, supporting H1.
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content_tags.findings[0]
findingPeer assisted mathematics learning had no statistically significant direct effect on performance in mathematics, so H2 was rejected.
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content_tags.findings[1]
findingMathematics teaching quality had a direct positive effect on students' performance in mathematics.
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content_tags.findings[2]
findingBecause peer assisted learning had no direct effect, student interest in mathematics fully mediated the peer-learning-to-performance relationship.
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content_tags.findings[3]
findingStudent interest only partially mediated the motivation-to-performance relationship, because motivation also acted directly on performance.
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content_tags.findings[4]
findingMotivation had a significant positive effect on students' interest in mathematics (β = 1.574).
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content_tags.findings[5]
findingStudents' interest in mathematics itself had a significant positive effect on their performance in mathematics.
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content_tags.findings[6]
quantityβ = 0.937; C. R. = 5.534 — Path coefficient and critical ratio for the direct effect of mathematics learning motivation on performance in mathematics
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content_tags.quantities[0]
quantityβ = 1.574; C. R. = 9.106 — Path coefficient and critical ratio for the effect of mathematics learning motivation on students' interest in mathematics, the study's largest coefficient
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content_tags.quantities[1]
quantityβ = 0.618; C. R. = 9.968 — Path coefficient and critical ratio for the effect of interest in mathematics on performance in mathematics
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content_tags.quantities[2]
quantity0.973 — Coefficient of the indirect (mediated) effect of motivation on performance via interest
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content_tags.quantities[3]
quantity0.143 — Coefficient of the indirect effect of peer assisted learning on performance via interest
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content_tags.quantities[4]
quantity373 — Number of usable questionnaires retained out of an ideal sample of 375
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content_tags.quantities[5]
quantity0.951 — Cronbach's alpha for the students' interest in mathematics scale, the highest of the five constructs
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content_tags.quantities[6]
quantity5,000 — Number of bootstrap samples drawn for the bias-corrected percentile mediation test
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content_tags.quantities[7]
quantity4.427 — Highest construct mean on the 5-point Likert scale, for mathematics learning motivation
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content_tags.quantities[8]
variableMathematics learning motivation (MOTI) (independent)
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content_tags.variables[0]
variablePeer assisted mathematics learning (PEER) (independent)
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content_tags.variables[1]
variableMathematics teaching quality (QUAL) (independent)
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content_tags.variables[2]
variablePerformance in mathematics (ACHIEV) (dependent)
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content_tags.variables[3]
variableStudent interest in mathematics (mediator)
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content_tags.variables[4]
definitionintrinsic motivation
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content_tags.definitions[0]
definitionextrinsic motivation
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content_tags.definitions[1]
definitionpeer assisted learning
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content_tags.definitions[2]
definitionconvergent validity
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definitiondiscriminant validity
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definitioncognitive activation
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definitionclassroom management
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definitionp-close
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Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptteaching quality
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concepts[0]
conceptconfirmatory factor analysis
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concepts[1]
conceptperformance in mathematics
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concepts[2]
conceptmathematics learning interest
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concepts[3]
conceptpeer assisted learning
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concepts[4]
conceptmathematics learning motivation
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concepts[5]
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
confirmatory factor analysis as written: Confirmatory Factor Analysis (CFA)
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structural equation modeling as written: Structural Equation Modelling (SEM)
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content_tags.statistics[1]
Cronbach's alpha CA as written: Cronbach’s alpha (CA)
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bootstrap BC as written: Bias-Corrected (BC) percentile method of bootstrapping
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average variance extracted AVE as written: Average Variance Extracted (AVE)
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correlation √AVE as written: inter-correlation coefficients
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mean as written: mean score
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content_tags.statistics[6]
confidence interval as written: 95% confidence interval, with 5% margin of error
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content_tags.statistics[7]
descriptive and inferential statistics
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content_tags.statistics[8]

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