Information literacy of U.S. and Indian engineering undergraduates

To be competitive, contemporary engineers must be capable of both processing and communicating information effectively. Available research suggests that Indian students would be disadvantaged in information literacy in their language of instruction (English) compared to U.S. students because English is not Indian students’ native language. Compared to U.S. students, Indian students (a) were predicted to apply practical text processing strategies to a greater extent than analytic strategies and (b) endorse the direct transmission of information over critical, interpretive analysis of information. Two validated scales measuring self-reported use of reading strategies and beliefs about interpreting and critiquing written information were administered to engineering students at an Indian Institute of Technology in their freshman to senior years. Neither prediction was supported: Indian students reported applying analytic strategies over pragmatic strategies and were more disposed to critically analyze information rather than accept it passively. Further, Indian students reported being more analytic and more reflective in their reading behaviors than U.S. engineering students. Additional data indicated that U.S. and Indian students’ text-processing strategies and beliefs are associated with the texts that they read and their academic behaviors.

[1]  K. Bay.  THE EFFECT OF NON‐NORMALITY ON THE SAMPLING DISTRIBUTION AND STANDARD ERROR OF RELIABILITY COEFFICIENT ESTIMATES UNDER AN ANALYSIS OF VARIANCE MODEL , 1973 .

[2]  C. Bazerman.  Physicists Reading Physics , 1985 .

[3]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[4]  J. H. Steiger.  Structural Model Evaluation and Modification: An Interval Estimation Approach. , 1990, Multivariate behavioral research.

[5]  Ruth Garner,et al.  When Children and Adults Do Not Use Learning Strategies: Toward a Theory of Settings , 1990 .

[6]  Michael Pressley,et al.  Comprehension strategies, worth and credibility monitoring, and evaluations: Cold and hot cognition when experts read professional articles that are important to them , 1993 .

[7]  P. Broek.  Comprehension and memory of narrative texts: Inferences and coherence. , 1994 .

[8]  Peter Afflerbach,et al.  Verbal Protocols of Reading: The Nature of Constructively Responsive Reading , 1996 .

[9]  M. Pavelich,et al.  Measuring the Effect of Experiential Education Using the Perry Model , 1996 .

[10]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[11]  Gregory Schraw,et al.  Reader Beliefs and Meaning Construction in Narrative Text. , 2000 .

[12]  Rose M. Marra,et al.  Encouraging Intellectual Growth: Senior College Student Profiles , 2004 .

[13]  R. Felder,et al.  The Intellectual Development of Science and Engineering Students. Part 2: Teaching to Promote Growth , 2004 .

[14]  Roman Taraban,et al.  ANALYTIC AND PRAGMATIC FACTORS IN COLLEGE STUDENTS' METACOGNITIVE READING STRATEGIES , 2004 .

[15]  H. Marsh,et al.  In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings , 2004 .

[16]  Rebecca Brent,et al.  The Intellectual Development of Science and Engineering Students. Part 1: Models and Challenges , 2004 .

[17]  Mary Besterfield-Sacre,et al.  The ABET “Professional Skills” — Can They Be Taught? Can They Be Assessed? , 2005 .

[18]  Ties Boerma,et al.  Getting the numbers right. , 2005, Bulletin of the World Health Organization.

[19]  Stephen Williams,et al.  Creating A “Global Algorithm” For Engineering Education , 2006 .

[20]  Faye Marsha G. Camahalan.  Effects of a Metacognitive Reading Program on the Reading Achievement and Metacognitive Strategies of Students with Cases of Dyslexia. , 2006 .

[21]  T. Brown,et al.  Confirmatory Factor Analysis for Applied Research , 2006 .

[22]  Beverlee Kissick,et al.  Faculty Librarian Partnerships For Information Fluency Instruction: Planning And Preliminary Assessment , 2006 .

[23]  Lucia Mason,et al.  Effects of Beliefs about Meaning Construction and Task Instructions on Interpretation of Narrative Text. , 2006 .

[24]  David Yun Dai,et al.  The role of need for cognition and reader beliefs in text comprehension and interest development , 2007 .

[25]  Machdalena Vianty.  The Comparison of Students' Use of Metacognitive Reading Strategies between Reading in Bahasa Indonesia and in English. , 2007 .

[26]  Gary Gereffi,et al.  Getting the Numbers Right: International Engineering Education in the United States, China, and India , 2008 .

[27]  Mahbub Uddin,et al.  Integrating Information Literacy Across The Engineering Design Curriculum , 2009 .

[28]  A. Hayati,et al.  Mapping Strategies , 2009 .

[29]  Michael J Cortese,et al.  Handbook of Psycholinguistics , 2011 .

[30]  Stacy S. Klein-Gardner,et al.  Defining Global Competence for Engineering Students , 2011 .

[31]  Roman Taraban,et al.  Information Fluency Growth Through Engineering Curricula: Analysis of Students' Text‐Processing Skills and Beliefs , 2011 .

[32]  Welcome to the Real World: Showing the Value of Information Literacy Beyond the Classroom , 2011 .

[33]  Yanyan Sheng,et al.  Is Coefficient Alpha Robust to Non-Normal Data? , 2011, Front. Psychology.